refsRobotics.bib

@inproceedings{MMX2020Sedlmayr,
  author    = {Sedlmayr, Hans-Juergen and Barthelmes, Stefan and Bayer, Ralph and Bertleff, Wieland and Bihler, Markus and Buse, Fabian and Chalon, Maxime and Franke, Dennis and Ginner, Florian and Langofer, Viktor and Lichtenheldt, Roy and Obermeier, Thomas and Pignède, Antoine and Reill, Josef and Skibbe, Juliane and Tardivel, Simon},
  booktitle = {2020 IEEE Aerospace Conference},
  title     = {MMX - Development of a Rover Locomotion System for Phobos},
  year      = {2020},
  volume    = {},
  number    = {},
  pages     = {1-10},
  keywords  = {Legged locomotion;Earth;Mars;Rockets;Moon;Wheels;Land surface;Space exploration;Reliability;Robots},
  doi       = {10.1109/AERO47225.2020.9172659}
}

@article{negrut2021PhysicsSimulators,
  author    = {Liu, C. Karen and Negrut, Dan},
  title     = {The Role of Physics-Based Simulators in Robotics},
  journal   = {Annual Review of Control, Robotics, and Autonomous Systems},
  year      = {2021},
  volume    = {4},
  number    = {Volume 4, 2021},
  pages     = {35-58},
  doi       = {https://doi.org/10.1146/annurev-control-072220-093055},
  url       = {https://www.annualreviews.org/content/journals/10.1146/annurev-control-072220-093055},
  publisher = {Annual Reviews},
  issn      = {2573-5144},
  type      = {Journal Article},
  keywords  = {robot simulation},
  keywords  = {testing through simulation},
  keywords  = {virtual prototyping of robots}
}

@inproceedings{DLR2021RoverWheelDesign,
  author    = {Stubbig, Leon and Lichtenheldt, Roy},
  year      = {2021},
  title     = {Optimizing the Shape of Planetary Rover Wheels using the Discrete Element Method and Bayesian Optimization},
  booktitle = {Proceedings of the VII International Conference on Particle-Based Methods (PARTICLES 2021)},
  publisher = {CIMNE},
  doi       = {10.23967/particles.2021.024},
  url       = {https://elib.dlr.de/148275/1/particles2021_Stubbig.pdf}
}
@misc{Huzaifa2025CRM,
  title         = {A Physics-Based Continuum Model for Versatile, Scalable, and Fast Terramechanics Simulation},
  author        = {Huzaifa Unjhawala and Luning Bakke and Harry Zhang and Michael Taylor and Ganesh Arivoli and Radu Serban and Dan Negrut},
  year          = {2025},
  note        = {arXiv:2507.05643, \url{https://arxiv.org/abs/2507.05643}},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO},
  url           = {https://arxiv.org/abs/2507.05643}
}

@article{Harry2025leveling,
  title   = {Data-Driven Bulldozer Blade Control for Autonomous Terrain Leveling},
  author  = {Zhang, Harry and Arivoli, Ganesh and Unjhawala, Huzaifa and Bakke, Luning and Serban, Radu and Negrut, Dan},
  journal = {IEEE Robotics and Automation Letters},
  volume  = {submitted},
  year    = {2025}
}

@inproceedings{nakatani2018autonomousgrading,
  author    = {Nakatani, Masayuki and Sun, Zeyuan and Uchimura, Yutaka},
  booktitle = {IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society},
  title     = {Autonomous Grading Work Using Deep Reinforcement Learning Based Control},
  year      = {2018},
  volume    = {},
  number    = {},
  pages     = {5068-5073},
  keywords  = {Land vehicles;Approximation algorithms;Neural networks;Games;Task analysis;Sediments},
  doi       = {10.1109/IECON.2018.8591189}
}

@inproceedings{ozaki2024bladecontrolrl,
  author    = {Ozaki, Ryota and Motomura, Takuto and Nakayama, Yutaka and Mori, Shouta},
  booktitle = {IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society},
  title     = {Blade Control for Bulk Dozer Push by Bulldozer using Reinforcement Learning},
  year      = {2024},
  volume    = {},
  number    = {},
  pages     = {1-6},
  keywords  = {Training;Productivity;Industrial electronics;Blades;Ores;Mechanical power transmission;Soil;Excavation;Land vehicles;Physics;Bulldozer;Bulk dozer push;Blade control;Reinforcement learning},
  doi       = {10.1109/IECON55916.2024.10905075}
}

@article{kochkov2021mlfluid,
  title     = {Machine learning--accelerated computational fluid dynamics},
  author    = {Kochkov, Dmitrii and Smith, Jamie A and Alieva, Ayya and Wang, Qing and Brenner, Michael P and Hoyer, Stephan},
  journal   = {Proceedings of the National Academy of Sciences},
  volume    = {118},
  number    = {21},
  pages     = {e2101784118},
  year      = {2021},
  publisher = {National Academy of Sciences}
}

@article{coscia2024generativemodeling,
  title     = {Generative adversarial reduced order modelling},
  author    = {Coscia, Dario and Demo, Nicola and Rozza, Gianluigi},
  journal   = {Scientific Reports},
  volume    = {14},
  number    = {1},
  pages     = {3826},
  year      = {2024},
  publisher = {Nature Publishing Group UK London}
}

@inproceedings{sun2024bladedesign,
  author    = {Sun, Ping and Xiang, Xingyu and Chen, Zhikai and Yi, Hongwei and Hou, Jie and Li, Bei},
  booktitle = {2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)},
  title     = {Research on optimization of bulldozer blade based on joint simulation technology},
  year      = {2024},
  volume    = {},
  number    = {},
  pages     = {1201-1206},
  keywords  = {Resistance;Solid modeling;Power demand;Blades;Reliability engineering;Land vehicles;Energy efficiency;Software;Machinery;Optimization;bulldozer;bulldozer blade;RecurDyn-EDEM co-simulation;optimization},
  doi       = {10.1109/ICEMCE64157.2024.10862139}
}

@article{liu2025diffhopperdesign,
  title     = {A differentiable deep learning approach for inverse optimization of hopper flows in particulate manufacturing},
  author    = {Liu, Chengbo and Liu, Tingting and Jiang, Yu and Zhou, Yuanye and Li, Yanjiao and Hong, Kun and Chen, Xizhong},
  journal   = {AIChE Journal},
  pages     = {e18825},
  year      = {2025},
  publisher = {Wiley Online Library}
}

@inproceedings{sanchez2020GNN,
  title        = {Learning to simulate complex physics with graph networks},
  author       = {Sanchez-Gonzalez, Alvaro and Godwin, Jonathan and Pfaff, Tobias and Ying, Rex and Leskovec, Jure and Battaglia, Peter},
  booktitle    = {International conference on machine learning},
  pages        = {8459--8468},
  year         = {2020},
  organization = {PMLR}
}

@article{lee2020blade,
  title     = {Blade control in Cartesian space for leveling work by bulldozer},
  author    = {Lee, Yong-Seok and Kim, Sang-Ho and Seo, Jongwon and Han, Jeakweon and Han, Chang-Soo},
  journal   = {Automation in Construction},
  volume    = {118},
  pages     = {103264},
  year      = {2020},
  publisher = {Elsevier}
}

@inproceedings{mononen2021blade,
  title        = {Blade control for surface profile tracking by heavy-duty bulldozers},
  author       = {Mononen, Teemu and Mattila, Jouni and Kolu, Antti},
  booktitle    = {Fluid Power Systems Technology},
  volume       = {85239},
  pages        = {V001T01A017},
  year         = {2021},
  organization = {American Society of Mechanical Engineers}
}

@article{liu2025differentiable,
  title     = {Differentiable simulation and optimization of particle-fluid flows using graph neural networks},
  author    = {Liu, Chengbo and Liu, Tingting and Yang, Kaiyuan and Hong, Kun and Chen, Xizhong},
  journal   = {Powder Technology},
  pages     = {121143},
  year      = {2025},
  publisher = {Elsevier}
}

@article{hirayama2019path,
  title     = {Path planning for autonomous bulldozers},
  author    = {Hirayama, Masami and Guivant, Jose and Katupitiya, Jayantha and Whitty, Mark},
  journal   = {Mechatronics},
  volume    = {58},
  pages     = {20--38},
  year      = {2019},
  publisher = {Elsevier},
  doi       = {10.1016/j.mechatronics.2019.01.001}
}

@inproceedings{pla2008espm,
  title     = {Physically-Based Interactive Sand Simulation.},
  author    = {Pla-Castells, Marta and Garc{\'\i}a-Fernandez, Ignacio and Martinez-Dura, Rafael J and others},
  booktitle = {Eurographics (Short Papers)},
  pages     = {21--24},
  year      = {2008}
}

@inproceedings{pla2003espm,
  title     = {Visual representation of enhanced sand pile models},
  author    = {Pla-Castells, M and Garcia, I and Martinez, RJ},
  booktitle = {Industrial Simulation Conference. Universidad Polit{\'e}cnica de Valencia, Valencia, Spain},
  pages     = {141--146},
  year      = {2003}
}

@article{ross2021agpnet,
  title   = {AGPNet--Autonomous Grading Policy Network},
  author  = {Ross, Chana and Miron, Yakov and Goldfracht, Yuval and Di Castro, Dotan},
  journal = {arXiv preprint arXiv:2112.10877},
  year    = {2021}
}

@inproceedings{wagner2022mpcleveling,
  author    = {Wagner, W. Jacob and Driggs-Campbell, Katherine and Soylemezoglu, Ahmet},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {6531-6538},
  keywords  = {Learning systems;Predictive models;Aerospace electronics;Data models;Trajectory;Task analysis;Vehicle dynamics},
  doi       = {10.1109/IROS47612.2022.9981911}
}

@inproceedings{Sukhija2023,
  title     = {Gradient-Based Trajectory Optimization With Learned Dynamics},
  author    = {Bhavya Sukhija and Nathanael K{\"o}hler and Miguel Zamora and Simon Zimmermann and Sebastian Curi and Andreas Krause and Stelian Coros},
  booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  year      = {2023},
  note      = {Final version available at \url{https://crl.ethz.ch/papers/Gradient_Based_Trajectory_Optimization_With_Learned_Dynamics_final.pdf}}
}

@misc{chen2023traindragontrainingfreeembodied,
  title         = {How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers},
  author        = {Junting Chen and Guohao Li and Suryansh Kumar and Bernard Ghanem and Fisher Yu},
  year          = {2023},
  eprint        = {2305.16925},
  archiveprefix = {arXiv},
  primaryclass  = {cs.CV},
  url           = {https://arxiv.org/abs/2305.16925}
}

@misc{zhou2023escexplorationsoftcommonsense,
  title         = {ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation},
  author        = {Kaiwen Zhou and Kaizhi Zheng and Connor Pryor and Yilin Shen and Hongxia Jin and Lise Getoor and Xin Eric Wang},
  year          = {2023},
  eprint        = {2301.13166},
  archiveprefix = {arXiv},
  primaryclass  = {cs.AI},
  url           = {https://arxiv.org/abs/2301.13166}
}

@article{Dorbala_2024,
  title     = {Can an Embodied Agent Find Your “Cat-shaped Mug”? LLM-Based Zero-Shot Object Navigation},
  volume    = {9},
  issn      = {2377-3774},
  url       = {http://dx.doi.org/10.1109/LRA.2023.3346800},
  doi       = {10.1109/lra.2023.3346800},
  number    = {5},
  journal   = {IEEE Robotics and Automation Letters},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  author    = {Dorbala, Vishnu Sashank and Mullen, James F. and Manocha, Dinesh},
  year      = {2024},
  month     = may,
  pages     = {4083–4090}
}


@misc{gadre2022cowspasturebaselinesbenchmarks,
  title         = {CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation},
  author        = {Samir Yitzhak Gadre and Mitchell Wortsman and Gabriel Ilharco and Ludwig Schmidt and Shuran Song},
  year          = {2022},
  eprint        = {2203.10421},
  archiveprefix = {arXiv},
  primaryclass  = {cs.CV},
  url           = {https://arxiv.org/abs/2203.10421}
}

@inproceedings{frontierBasedExploration,
  author    = {Yamauchi, B.},
  booktitle = {Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'},
  title     = {A frontier-based approach for autonomous exploration},
  year      = {1997},
  volume    = {},
  number    = {},
  pages     = {146-151},
  keywords  = {Mobile robots;Orbital robotics;Sonar navigation;Artificial intelligence;Laboratories;Testing;Humans;Indoor environments;Space exploration},
  doi       = {10.1109/CIRA.1997.613851}
}


@online{softserve2024synthetic,
  title  = {Gen AI-Powered Synthetic Data Generation in Robotics},
  author = {{SoftServe Inc.}},
  year   = {2024},
  url    = {https://www.softserveinc.com/en-us/blog/ai-powered-synthetic-data-for-robotics},
  note   = {Accessed: 2025-04-15}
}

@article{Andersson2019casadi,
  author    = {Joel A E Andersson and Joris Gillis and Greg Horn
               and James B Rawlings and Moritz Diehl},
  title     = {{CasADi} -- {A} software framework for nonlinear optimization
               and optimal control},
  journal   = {Mathematical Programming Computation},
  volume    = {11},
  number    = {1},
  pages     = {1--36},
  year      = {2019},
  publisher = {Springer},
  doi       = {10.1007/s12532-018-0139-4}
}

@inproceedings{he2016resnet,
  title     = {Deep residual learning for image recognition},
  author    = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages     = {770--778},
  year      = {2016}
}

@article{luna2023europeanEMRS,
  title   = {The european moon rover system: A modular multipurpose rover for future complex lunar missions},
  author  = {Luna, Cristina and Esquer, Manuel and Barrientos-D{\'\i}ez, Jorge and Guerra, Alba and Seoane, Marina L and Colmenarejo, I{\~n}aki and Kay, Steven and Cameron, Angus and Cama{\~n}es, Carmen and Sard, {\'I}{\~n}igo and others},
  journal = {arXiv preprint arXiv:2311.03136},
  year    = {2023}
}

@article{li2025llmMAsurvey,
  title   = {Large Language Models for Multi-Robot Systems: A Survey},
  author  = {Li, Peihan and An, Zijian and Abrar, Shams and Zhou, Lifeng},
  journal = {arXiv preprint arXiv:2502.03814},
  year    = {2025}
}

@inproceedings{chen2024llmplanner,
  title        = {Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?},
  author       = {Chen, Yongchao and Arkin, Jacob and Zhang, Yang and Roy, Nicholas and Fan, Chuchu},
  booktitle    = {2024 IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {4311--4317},
  year         = {2024},
  organization = {IEEE}
}

@inproceedings{kannan2024multiagentsLLM,
  title        = {Smart-llm: Smart multi-agent robot task planning using large language models},
  author       = {Kannan, Shyam Sundar and Venkatesh, Vishnunandan LN and Min, Byung-Cheol},
  booktitle    = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages        = {12140--12147},
  year         = {2024},
  organization = {IEEE}
}

@inproceedings{arul2021vrvo,
  title        = {V-rvo: Decentralized multi-agent collision avoidance using voronoi diagrams and reciprocal velocity obstacles},
  author       = {Arul, Senthil Hariharan and Manocha, Dinesh},
  booktitle    = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages        = {8097--8104},
  year         = {2021},
  organization = {IEEE}
}

@article{feng2024multiagentsCA,
  title     = {Safe and efficient multi-agent collision avoidance with physics-informed reinforcement learning},
  author    = {Feng, Pu and Shi, Rongye and Wang, Size and Liang, Junkang and Yu, Xin and Li, Simin and Wu, Wenjun},
  journal   = {IEEE Robotics and Automation Letters},
  year      = {2024},
  publisher = {IEEE}
}

@article{de2023multicentralOA,
  title     = {Multi-agent collision avoidance system based on centralization and decentralization control for UAV applications},
  author    = {De S{\'a}, Denis Fabr{\'\i}cio Sousa and Neto, Jo{\~a}o Viana Da Fonseca},
  journal   = {IEEE Access},
  volume    = {11},
  pages     = {7031--7042},
  year      = {2023},
  publisher = {IEEE}
}

@online{bennink2020_5g,
  author = {C. Bennink},
  title  = {5G Enables Advances in Machine Connectivity},
  year   = {2020},
  date   = {2020-02-10},
  url    = {https://www.forconstructionpros.com/construction-technology/article/21111112/5g-enables-advances-in-machine-connectivity},
  note   = {Accessed: 2021-03-22}
}

@online{nvidia2017_komatsu,
  author = {{NVIDIA}},
  title  = {Japan’s Komatsu Selects NVIDIA as Partner for Deploying AI to Create Safer, More Efficient Construction Sites},
  year   = {2017},
  date   = {2017-12-12},
  url    = {https://nvidianews.nvidia.com/news/japans-komatsuselects-nvidia-as-partner-for-deploying-ai-to-create-safer-more-efficient},
  note   = {Accessed: 2021-03-22}
}

@article{nguyen2023constructionroboticssurvey,
  title     = {Robotic autonomous systems for earthmoving equipment operating in volatile conditions and teaming capacity: a survey},
  author    = {Nguyen, Huynh AD and Ha, Quang P},
  journal   = {Robotica},
  volume    = {41},
  number    = {2},
  pages     = {486--510},
  year      = {2023},
  publisher = {Cambridge University Press}
}

@article{chen2020romsformpc,
  title     = {Implementation of MPC-based path tracking for autonomous vehicles considering three vehicle dynamics models with different fidelities},
  author    = {Chen, Shuping and Chen, Huiyan and Negrut, Dan},
  journal   = {Automotive Innovation},
  volume    = {3},
  number    = {4},
  pages     = {386--399},
  year      = {2020},
  publisher = {Springer}
}

@article{kalmari2015ROMtoolkit,
  title     = {A toolkit for nonlinear model predictive control using gradient projection and code generation},
  author    = {Kalmari, Jouko and Backman, Juha and Visala, Arto},
  journal   = {Control Engineering Practice},
  volume    = {39},
  pages     = {56--66},
  year      = {2015},
  publisher = {Elsevier}
}

@article{moavenzadeh1978construction,
  title     = {Construction industry in developing countries},
  author    = {Moavenzadeh, Fred},
  journal   = {World Development},
  volume    = {6},
  number    = {1},
  pages     = {97--116},
  year      = {1978},
  publisher = {Elsevier}
}

@article{liu2024autoconstruction,
  title     = {Robotics in the construction sector: Trends, advances, and challenges},
  author    = {Liu, Yuming and AH, Alias and Haron, Nuzul Azam and NA, Bakar and Wang, Hao},
  journal   = {Journal of Intelligent \& Robotic Systems},
  volume    = {110},
  number    = {2},
  pages     = {72},
  year      = {2024},
  publisher = {Springer}
}

@article{raisim,
  title     = {Per-contact iteration method for solving contact dynamics},
  author    = {Hwangbo, Jemin and Lee, Joonho and Hutter, Marco},
  journal   = {IEEE Robotics and Automation Letters},
  url       = {www.raisim.com},
  volume    = {3},
  number    = {2},
  pages     = {895--902},
  year      = {2018},
  publisher = {IEEE}
}

@article{Le2024ContactModels,
  author   = {Le Lidec, Quentin and Jallet, Wilson and Montaut, Louis and Laptev, Ivan and Schmid, Cordelia and Carpentier, Justin},
  journal  = {IEEE Transactions on Robotics},
  title    = {Contact Models in Robotics: A Comparative Analysis},
  year     = {2024},
  volume   = {40},
  number   = {},
  pages    = {3716-3733},
  keywords = {Robots;Heuristic algorithms;Numerical models;Computational modeling;Physics;Mathematical models;Friction;Numerical optimization;physical simulation},
  doi      = {10.1109/TRO.2024.3434208}
}

@inproceedings{mees2023vlmaffordance,
  title        = {Grounding language with visual affordances over unstructured data},
  author       = {Mees, Oier and Borja-Diaz, Jessica and Burgard, Wolfram},
  booktitle    = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {11576--11582},
  year         = {2023},
  organization = {IEEE}
}

@inproceedings{yokoyama2024vlfm,
  title        = {Vlfm: Vision-language frontier maps for zero-shot semantic navigation},
  author       = {Yokoyama, Naoki and Ha, Sehoon and Batra, Dhruv and Wang, Jiuguang and Bucher, Bernadette},
  booktitle    = {2024 IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {42--48},
  year         = {2024},
  organization = {IEEE}
}

@article{brohan2023rt2,
  title   = {Rt-2: Vision-language-action models transfer web knowledge to robotic control},
  author  = {Brohan, Anthony and Brown, Noah and Carbajal, Justice and Chebotar, Yevgen and Chen, Xi and Choromanski, Krzysztof and Ding, Tianli and Driess, Danny and Dubey, Avinava and Finn, Chelsea and others},
  journal = {arXiv preprint arXiv:2307.15818},
  year    = {2023}
}

@article{vemprala2024chatgptrobot,
  title     = {Chatgpt for robotics: Design principles and model abilities},
  author    = {Vemprala, Sai H and Bonatti, Rogerio and Bucker, Arthur and Kapoor, Ashish},
  journal   = {Ieee Access},
  year      = {2024},
  publisher = {IEEE}
}

@inproceedings{brohan2023saycan,
  title        = {Do as i can, not as i say: Grounding language in robotic affordances},
  author       = {Brohan, Anthony and Chebotar, Yevgen and Finn, Chelsea and Hausman, Karol and Herzog, Alexander and Ho, Daniel and Ibarz, Julian and Irpan, Alex and Jang, Eric and Julian, Ryan and others},
  booktitle    = {Conference on robot learning},
  pages        = {287--318},
  year         = {2023},
  organization = {PMLR}
}

@inproceedings{Mondal2024UAVUGVPathPlanning,
  author    = {Mondal, Md Safwan and Ramasamy, Subramanian and Humann, James D. and Dotterweich, James M. and Reddinger, Jean-Paul F. and Childers, Marshal A. and Bhounsule, Pranav},
  booktitle = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {An Attention-aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning},
  year      = {2024},
  volume    = {},
  number    = {},
  pages     = {13687-13694},
  keywords  = {Surveys;Learning systems;Runtime;Deep reinforcement learning;Autonomous aerial vehicles;Routing;Land vehicles;Planning;Vehicle dynamics;Intelligent robots},
  doi       = {10.1109/IROS58592.2024.10801704}
}

@article{bROTEE2024UAVUGVPathPlanning,
  title    = {Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment},
  journal  = {Ad Hoc Networks},
  volume   = {160},
  pages    = {103519},
  year     = {2024},
  issn     = {1570-8705},
  doi      = {https://doi.org/10.1016/j.adhoc.2024.103519},
  url      = {https://www.sciencedirect.com/science/article/pii/S1570870524001306},
  author   = {Shamyo Brotee and Farhan Kabir and Md. Abdur Razzaque and Palash Roy and Md. Mamun-Or-Rashid and Md. Rafiul Hassan and Mohammad Mehedi Hassan},
  keywords = {UAV-UGV coalition, Path planning, Multi-agent deep reinforcement learning, Mean-shift clustering, Obstructed environment}
}

@article{Mondal2025UAVUGVDisasterManagement,
  author = {Mondal, Md Safwan and Ramasamy, Subramanian and Bhounsule, Pranav},
  year   = {2025},
  month  = {02},
  title  = {Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications},
  doi    = {10.48550/arXiv.2502.02666}
}

@article{Niu202UAVUGVPathPlanning,
  author   = {Niu, Guanchong and Wu, Lan and Gao, Yunfan and Pun, Man-On},
  journal  = {IEEE Transactions on Vehicular Technology},
  title    = {Unmanned Aerial Vehicle (UAV)-Assisted Path Planning for Unmanned Ground Vehicles (UGVs) via Disciplined Convex-Concave Programming},
  year     = {2022},
  volume   = {71},
  number   = {7},
  pages    = {6996-7007},
  keywords = {Semantics;Image segmentation;Cooperative systems;Cameras;Heuristic algorithms;Autonomous aerial vehicles;Trajectory;Disciplined convex-concave programming;path planning;semantic segmentation;UAV-UGV cooperative system},
  doi      = {10.1109/TVT.2022.3168574}
}

@article{EKF2004,
  title     = {{Kalman and Extended Kalman Filters: Concept, derivation and properties}},
  author    = {Ribeiro, Maria Isabel},
  journal   = {Institute for Systems and Robotics},
  volume    = {43},
  number    = {46},
  pages     = {3736--3741},
  year      = {2004},
  publisher = {Lisboa, Portugal:}
}

@article{Elmakis2022UAVUGVBulldozer,
  author   = {Elmakis, Oren and Shaked, Tom and Degani, Amir},
  journal  = {IEEE Access},
  title    = {Vision-Based UAV-UGV Collaboration for Autonomous Construction Site Preparation},
  year     = {2022},
  volume   = {10},
  number   = {},
  pages    = {51209-51220},
  keywords = {Location awareness;Task analysis;Robots;Collaboration;Robot kinematics;Autonomous aerial vehicles;State estimation;Autonomous systems;multi-robot systems;pose estimation;robotics and automation;system implementation},
  doi      = {10.1109/ACCESS.2022.3170408}
}

@inproceedings{Zhao2022ExcavationTrajGen,
  author    = {Zhao, Jiangying and Tan, Peng and Hu, Yongbiao and Tian, Mingrui and Xia, Xiaohua},
  booktitle = {2022 International Conference on Mechanical and Electronics Engineering (ICMEE)},
  title     = {Autonomous Excavation Trajectory Generation for Trenching Tasks Based on Skills of Skillful Operator},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {134-138},
  keywords  = {Trajectory planning;Education;Soil;Excavation;Search problems;Trajectory;Topology;autonomous excavation;trajectory generation;manual excavation modeling;teach and plan},
  doi       = {10.1109/ICMEE56406.2022.10093336}
}

@article{Kim2025ExcavationTrajGen,
  author   = {Kim, ChangU and Son, Bukun and Lee, Minhyeong and Choi, Hyelim and Hong, Seokhyun and Kang, Minsung and Moon, Jihyun and Kim, Dongmok and Lee, Dongjun},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {Real-Time Excavation Trajectory Modulation for Slip and Rollover Prevention},
  year     = {2025},
  volume   = {10},
  number   = {4},
  pages    = {3094-3101},
  keywords = {Excavation;Force;Trajectory;Modulation;Rollover;Kinematics;Real-time systems;Prevention and mitigation;Robots;Predictive models;Excavation trajectory modulation;force difference prediction;machine learning;robust optimization;rollover;slip},
  doi      = {10.1109/LRA.2025.3540389}
}

@article{Ilya2020ExcavatorRL,
  author   = {Kurinov, Ilya and Orzechowski, Grzegorz and Hämäläinen, Perttu and Mikkola, Aki},
  journal  = {IEEE Access},
  title    = {Automated Excavator Based on Reinforcement Learning and Multibody System Dynamics},
  year     = {2020},
  volume   = {8},
  number   = {},
  pages    = {213998-214006},
  keywords = {Reinforcement learning;Adaptation models;Automation;Computational modeling;Training;Task analysis;Load modeling;Autonomous agents;discrete event dynamic automation systems;learning and adaptive systems;real-time simulation;multibody system dynamics;reinforcement learning;PPO-CMA},
  doi      = {10.1109/ACCESS.2020.3040246}
}

@article{Egli2022SoilAdaptiveExcavation,
  author   = {Egli, Pascal and Gaschen, Dominique and Kerscher, Simon and Jud, Dominic and Hutter, Marco},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {Soil-Adaptive Excavation Using Reinforcement Learning},
  year     = {2022},
  volume   = {7},
  number   = {4},
  pages    = {9778-9785},
  keywords = {Soil;Excavation;Trajectory;Solid modeling;Hydraulic systems;Force;Kinematics;Autonomous excavation;reinforcement learning;sim-to-real},
  doi      = {10.1109/LRA.2022.3189834}
}


@article{Egli2024BucketFilling,
  author   = {Egli, Pascal and Terenzi, Lorenzo and Hutter, Marco},
  journal  = {IEEE Transactions on Field Robotics},
  title    = {Reinforcement Learning-Based Bucket Filling for Autonomous Excavation},
  year     = {2024},
  volume   = {1},
  number   = {},
  pages    = {170-191},
  keywords = {Excavation;Soil measurement;Trajectory;Soil properties;Autonomous systems;Excavation;Actuators;Hydraulic actuators;Reinforcement learning;Autonomous robots;Autonomous excavation;hydraulic actuators;reinforcement learning (RL)},
  doi      = {10.1109/TFR.2024.3432508}
}

@article{hirayama2018materialDistribution,
  title     = {An optimized approach for automatic material distribution operations of bulldozers},
  author    = {Hirayama, Masami and Whitty, Mark and Katupitiya, Jayantha and Guivant, Jose},
  journal   = {International Journal of Advanced Robotic Systems},
  volume    = {15},
  number    = {2},
  pages     = {1729881418764716},
  year      = {2018},
  publisher = {SAGE Publications Sage UK: London, England},
  doi       = {10.1177/1729881418764716}
}

@article{Miron2024multiAgentConstruction,
  author   = {Miron, Yakov and Navon, Dan and Goldfracht, Yuval and Castro, Dotan Di and Klein, Itzik},
  journal  = {IEEE Open Journal of Vehicular Technology},
  title    = {Decentralized and Asymmetric Multi-Agent Learning in Construction Sites},
  year     = {2024},
  volume   = {5},
  number   = {},
  pages    = {1587-1599},
  keywords = {Training;Robots;Collaboration;Automation;Location awareness;Visualization;Robot kinematics;Navigation;Multi-agent systems;Decentralized control;Deep learning;Construction industry;Multi-agents;deep learning;decentralized decision making;construction-sites automation;localization uncertainties},
  doi      = {10.1109/OJVT.2024.3479927}
}

@inproceedings{Li2024StateEstimationMiningSite,
  author    = {Li, Yuchong and Wang, Aoze and Xiao, Li and Peng, Gang and Sun, Zhigang},
  booktitle = {2024 43rd Chinese Control Conference (CCC)},
  title     = {A Multi-Sensor Fusion Localization Mapping Algorithm for Mining Environment},
  year      = {2024},
  volume    = {},
  number    = {},
  pages     = {3785-3790},
  keywords  = {Point cloud compression;Location awareness;Degradation;Simultaneous localization and mapping;Surface emitting lasers;Search problems;Feature extraction;Point cloud intensity;breadth-first search;multi-sensor fusion},
  doi       = {10.23919/CCC63176.2024.10662009}
}

@inproceedings{nathalie2019stockpilemixing,
  author    = {Risso, Nathalie and Park, Junhyeok and Lundin, Jack O. and Duran-Faundez, Cristian and Melin, Pedro},
  booktitle = {2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)},
  title     = {A Path-planning strategy for an Autonomous dozer},
  year      = {2019},
  volume    = {},
  number    = {},
  pages     = {1-6},
  keywords  = {Automation;Autonomous systems;Mineral processing},
  doi       = {10.1109/CHILECON47746.2019.8988087}
}

@inproceedings{Yasuhiro2021RLBulldozer,
  author    = {Osaka, Yasuhiro and Odajima, Naoya and Uchimura, Yutaka},
  booktitle = {2021 IEEE International Conference on Mechatronics (ICM)},
  title     = {Route optimization for autonomous bulldozer by distributed deep reinforcement learning},
  year      = {2021},
  volume    = {},
  number    = {},
  pages     = {1-6},
  keywords  = {Mechatronics;Conferences;Reinforcement learning;Games;Land vehicles;Sediments;Optimization;Artificial intelligence;Machine Learning;Deep Reinforcement Learning;Machine Automation},
  doi       = {10.1109/ICM46511.2021.9385686}
}

@inproceedings{Teemu2022BladeControl,
  author    = {Mononen, Teemu and Kolu, Antti and Mattila, Jouni},
  booktitle = {2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
  title     = {Semi-Autonomous Bulldozer Blade Control Using Real-Time Terrain Mapping},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {775-782},
  keywords  = {Mechatronics;Laser radar;Shape;Blades;Terrain mapping;Hydraulic systems;Soil},
  doi       = {10.1109/AIM52237.2022.9863337}
}

@article{kim2019bladeestimation,
  title     = {Development of bulldozer sensor system for estimating the position of blade cutting edge},
  author    = {Kim, Sang-Ho and Lee, Yong-Seok and Sun, Dong-Ik and Lee, Sang-Keun and Yu, Bo-Hyun and Jang, Sung-Hoon and Kim, Wansoo and Han, Chang-Soo},
  journal   = {Automation in construction},
  volume    = {106},
  pages     = {102890},
  year      = {2019},
  publisher = {Elsevier}
}

@article{khan2021bulldozerdebris,
  title     = {Nonlinear model predictive path-following controller for a small-scale autonomous bulldozer for accurate placement of materials and debris of masonry in construction contexts},
  author    = {Khan, Subhan and Guivant, Jose},
  journal   = {IEEE Access},
  volume    = {9},
  pages     = {102069--102080},
  year      = {2021},
  publisher = {IEEE}
}

@article{khan2022bulldozertracking,
  title     = {Design and experimental validation of a robust model predictive control for the optimal trajectory tracking of a small-scale autonomous bulldozer},
  author    = {Khan, Subhan and Guivant, Jose and Li, Xuesong},
  journal   = {Robotics and Autonomous Systems},
  volume    = {147},
  pages     = {103903},
  year      = {2022},
  publisher = {Elsevier}
}

@inproceedings{Miron2022autoGrading,
  author    = {Miron, Yakov and Ross, Chana and Goldfracht, Yuval and Tessler, Chen and Di Castro, Dotan},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {Towards Autonomous Grading In The Real World},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {11940-11946},
  keywords  = {Pipelines;Prototypes;Data collection;Robot sensing systems;Land vehicles;Behavioral sciences;Planning},
  doi       = {10.1109/IROS47612.2022.9982114}
}

@article{Miron2023DozerGrading,
  author   = {Miron, Yakov and Goldfracht, Yuval and Ross, Chana and Castro, Dotan Di and Klein, Itzik},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {Autonomous Dozer Sand Grading Under Localization Uncertainties},
  year     = {2023},
  volume   = {8},
  number   = {1},
  pages    = {65-72},
  keywords = {Uncertainty;Location awareness;Task analysis;Autonomous vehicles;Training;Land vehicles;Decision making;Deep learning;decisions under uncertainties;inertial sensors;extended Kalman filter;autonomous driving},
  doi      = {10.1109/LRA.2022.3222990}
}

@article{melenbrink2020site,
  title     = {On-site autonomous construction robots: Towards unsupervised building},
  author    = {Melenbrink, Nathan and Werfel, Justin and Menges, Achim},
  journal   = {Automation in construction},
  volume    = {119},
  pages     = {103312},
  year      = {2020},
  publisher = {Elsevier}
}

@article{MP3DDataset,
  author     = {Angel X. Chang and
                Angela Dai and
                Thomas A. Funkhouser and
                Maciej Halber and
                Matthias Nie{\ss}ner and
                Manolis Savva and
                Shuran Song and
                Andy Zeng and
                Yinda Zhang},
  title      = {Matterport3D: Learning from {RGB-D} Data in Indoor Environments},
  journal    = {CoRR},
  volume     = {abs/1709.06158},
  year       = {2017},
  url        = {http://arxiv.org/abs/1709.06158},
  eprinttype = {arXiv},
  eprint     = {1709.06158},
  timestamp  = {Tue, 29 Oct 2024 08:50:24 +0100},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1709-06158.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@article{HM3DDataset,
  author     = {Santhosh K. Ramakrishnan and
                Aaron Gokaslan and
                Erik Wijmans and
                Oleksandr Maksymets and
                Alexander Clegg and
                John M. Turner and
                Eric Undersander and
                Wojciech Galuba and
                Andrew Westbury and
                Angel X. Chang and
                Manolis Savva and
                Yili Zhao and
                Dhruv Batra},
  title      = {Habitat-Matterport 3D Dataset {(HM3D):} 1000 Large-scale 3D Environments
                for Embodied {AI}},
  journal    = {CoRR},
  volume     = {abs/2109.08238},
  year       = {2021},
  url        = {https://arxiv.org/abs/2109.08238},
  eprinttype = {arXiv},
  eprint     = {2109.08238},
  timestamp  = {Mon, 30 Oct 2023 09:00:57 +0100},
  biburl     = {https://dblp.org/rec/journals/corr/abs-2109-08238.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@article{GibsonDataset,
  author     = {Fei Xia and
                Amir R. Zamir and
                Zhi{-}Yang He and
                Alexander Sax and
                Jitendra Malik and
                Silvio Savarese},
  title      = {Gibson Env: Real-World Perception for Embodied Agents},
  journal    = {CoRR},
  volume     = {abs/1808.10654},
  year       = {2018},
  url        = {http://arxiv.org/abs/1808.10654},
  eprinttype = {arXiv},
  eprint     = {1808.10654},
  timestamp  = {Tue, 12 Nov 2024 16:50:49 +0100},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1808-10654.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@misc{li2024evaluating,
  title         = {Evaluating Real-World Robot Manipulation Policies in Simulation},
  author        = {Xuanlin Li and Kyle Hsu and Jiayuan Gu and Karl Pertsch and Oier Mees and Homer Rich Walke and Chuyuan Fu and Ishikaa Lunawat and Isabel Sieh and Sean Kirmani and Sergey Levine and Jiajun Wu and Chelsea Finn and Hao Su and Quan Vuong and Ted Xiao},
  year          = {2024},
  eprint        = {2405.05941},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@article{yan2022mapless,
  title     = {Mapless navigation with safety-enhanced imitation learning},
  author    = {Yan, Chengzhen and Qin, Jiahu and Liu, Qingchen and Ma, Qichao and Kang, Yu},
  journal   = {IEEE Transactions on Industrial Electronics},
  volume    = {70},
  number    = {7},
  pages     = {7073--7081},
  year      = {2022},
  publisher = {IEEE}
}

@article{pabla2009cfscheduler,
  title     = {Completely fair scheduler},
  author    = {Pabla, Chandandeep Singh},
  journal   = {Linux Journal},
  volume    = {2009},
  number    = {184},
  pages     = {4},
  year      = {2009},
  publisher = {Belltown Media Houston, TX}
}

@article{de2016preemptrt,
  title     = {Timing analysis of the PREEMPT RT Linux kernel},
  author    = {De Oliveira, Daniel Bristot and De Oliveira, Romulo Silva},
  journal   = {Software: Practice and Experience},
  volume    = {46},
  number    = {6},
  pages     = {789--819},
  year      = {2016},
  publisher = {Wiley Online Library}
}

@book{krten1999QNXNeutrino,
  title     = {Getting started with QNX Neutrino 2: a guide for realtime programmers},
  author    = {Krten, Rob},
  year      = {1999},
  publisher = {PARSE Software Devices Kanata}
}

@article{barry2008freertos,
  title   = {FreeRTOS},
  author  = {Barry, Richard and others},
  journal = {Internet, Oct},
  volume  = {4},
  pages   = {18},
  year    = {2008}
}
@inproceedings{millard2023granulargym,
  title      = {GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials},
  author     = {Millard, David and Pastor, Daniel and Bowkett, Joseph and Backes, Paul and Sukhatme, Gaurav S},
  eventtitle = {Robotics: Science and Systems},
  venue      = {Daegu, Korea},
  year       = {2023},
  month      = jul
}

@article{harryPathFollowingControlPolicyComparison2024,
  title   = {A Study on the Use of Simulation in Synthesizing Path-Following Control Policies for Autonomous Ground Robots},
  author  = {Zhang, Harry and Caldararu, Stefan and Young, Aaron and Ruiz, Alexis and Unjhawala, Huzaifa and Mahajan, Ishaan and Ashokkumar, Sriram and Batagoda, Nevindu and Zhou, Zhenhao and Bakke, Luning and others},
  journal = {arXiv preprint arXiv:2403.18021},
  year    = {2024}
}

@article{le2022surveyIL,
  title     = {A survey on imitation learning techniques for end-to-end autonomous vehicles},
  author    = {Le Mero, Luc and Yi, Dewei and Dianati, Mehrdad and Mouzakitis, Alexandros},
  journal   = {IEEE Transactions on Intelligent Transportation Systems},
  volume    = {23},
  number    = {9},
  pages     = {14128--14147},
  year      = {2022},
  publisher = {IEEE}
}

@article{afzal2020simUsages,
  title   = {A study on the challenges of using robotics simulators for testing},
  author  = {Afzal, Afsoon and Katz, Deborah S and Goues, Claire Le and Timperley, Christopher S},
  journal = {arXiv preprint arXiv:2004.07368},
  year    = {2020}
}

@article{ishaanGPSsim2realGap2024,
  title         = {Quantifying the Sim2real Gap for {GPS} and {IMU} Sensors},
  author        = {Mahajan, Ishaan and Unjhawala, Huzaifa and Zhang, Harry and Zhou, Zhenhao and Young, Aaron and Ruiz, Alexis and Caldararu, Stefan and Batagoda, Nevindu and Ashokkumar, Sriram and Negrut, Dan},
  journal       = {arXiv preprint arXiv:2403.11000},
  year          = {2024},
  eprint        = {2403.11000},
  archiveprefix = {arXiv},
  url           = {https://arxiv.org/abs/2403.11000}
}

@book{reatTime-Kopetz2022,
  title     = {Real-time systems: design principles for distributed embedded applications},
  author    = {Kopetz, Hermann and Steiner, Wilfried},
  year      = {2022},
  publisher = {Springer Nature}
}
@inproceedings{gomez2022Astack,
  title        = {How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline},
  author       = {G{\'o}mez-Hu{\'e}lamo, Carlos and Diaz-Diaz, Alejandro and Araluce, Javier and Ortiz, Miguel E and Guti{\'e}rrez, Rodrigo and Arango, Felipe and Llamazares, {\'A}ngel and Bergasa, Luis M},
  booktitle    = {2022 IEEE Intelligent Vehicles Symposium (IV)},
  pages        = {1282--1289},
  year         = {2022},
  organization = {IEEE}
}

@article{barbalace2008RTperformance,
  title     = {Performance comparison of VxWorks, Linux, RTAI, and Xenomai in a hard real-time application},
  author    = {Barbalace, Antonio and Luchetta, Adriano and Manduchi, Gabriele and Moro, Michele and Soppelsa, Anton and Taliercio, Cesare},
  journal   = {IEEE Transactions on Nuclear Science},
  volume    = {55},
  number    = {1},
  pages     = {435--439},
  year      = {2008},
  publisher = {IEEE}
}
@misc{schenck2017learning,
  title         = {Learning Robotic Manipulation of Granular Media},
  author        = {Connor Schenck and Jonathan Tompson and Dieter Fox and Sergey Levine},
  year          = {2017},
  eprint        = {1709.02833},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@inproceedings{1998StentzRoboticExcavator,
  author    = {Stentz, A. and Bares, J. and Singh, S. and Rowe, P.},
  booktitle = {Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)},
  title     = {A robotic excavator for autonomous truck loading},
  year      = {1998},
  volume    = {3},
  number    = {},
  pages     = {1885-1893 vol.3},
  keywords  = {Robots;Face detection;Robotics and automation;Humans;Safety;Face recognition;Soil measurements;Material storage;Force feedback;Building materials},
  doi       = {10.1109/IROS.1998.724871}
}


@inproceedings{1995BradleyLUCIE,
  author    = {Bradley, D.A. and Seward, D.W.},
  booktitle = {Proceedings of 1995 34th IEEE Conference on Decision and Control},
  title     = {Developing real-time autonomous excavation-the LUCIE story},
  year      = {1995},
  volume    = {3},
  number    = {},
  pages     = {3028-3033 vol.3},
  keywords  = {Robotics and automation;Earth;Intelligent robots;Artificial intelligence;Motion control;Control systems;Throughput;Machine intelligence;Competitive intelligence;Real time systems},
  doi       = {10.1109/CDC.1995.478607}
}


@article{2016DadhichAutonomousConstruction,
  title    = {Key challenges in automation of earth-moving machines},
  journal  = {Automation in Construction},
  volume   = {68},
  pages    = {212-222},
  year     = {2016},
  issn     = {0926-5805},
  doi      = {https://doi.org/10.1016/j.autcon.2016.05.009},
  url      = {https://www.sciencedirect.com/science/article/pii/S0926580516300899},
  author   = {S. Dadhich and U. Bodin and U. Andersson},
  keywords = {Earth-moving, Automation, Loader, Short loading cycle},
  abstract = {A wheel loader is an earth-moving machine used in construction sites, gravel pits and mining to move blasted rock, soil and gravel. In the presence of a nearby dump truck, the wheel loader is said to be operating in a short loading cycle. This paper concerns the moving of material (soil, gravel and fragmented rock) by a wheel loader in a short loading cycle with more emphasis on the loading step. Due to the complexity of bucket-environment interactions, even three decades of research efforts towards automation of the bucket loading operation have not yet resulted in any fully autonomous system. This paper highlights the key challenges in automation and tele-remote operation of earth-moving machines and provides a survey of different areas of research within the scope of the earth-moving operation. The survey of publications presented in this paper is conducted with an aim to highlight the previous and ongoing research work in this field with an effort to strike a balance between recent and older publications. Another goal of the survey is to identify the research areas in which knowledge essential to automate the earth moving process is lagging behind. The paper concludes by identifying the knowledge gaps to give direction to future research in this field.}
}

@article{otto2023rosdeterministic,
  title  = {Enabling Reproducibility in ROS 2 by Ensuring Sequence Deterministic Callback Execution},
  author = {Otto, Jonas},
  year   = {2023}
}

@article{schubert2017dbscan,
  title     = {DBSCAN revisited, revisited: why and how you should (still) use DBSCAN},
  author    = {Schubert, Erich and Sander, J{\"o}rg and Ester, Martin and Kriegel, Hans Peter and Xu, Xiaowei},
  journal   = {ACM Transactions on Database Systems (TODS)},
  volume    = {42},
  number    = {3},
  pages     = {1--21},
  year      = {2017},
  publisher = {ACM New York, NY, USA}
}

@inproceedings{choi2014groundPlaneDetection,
  title        = {Robust ground plane detection from 3D point clouds},
  author       = {Choi, Sunglok and Park, Jaehyun and Byun, Jaemin and Yu, Wonpil},
  booktitle    = {2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)},
  pages        = {1076--1081},
  year         = {2014},
  organization = {IEEE}
}

@article{Zhou2018Open3D,
  author  = {Qian-Yi Zhou and Jaesik Park and Vladlen Koltun},
  title   = {{Open3D}: {A} Modern Library for {3D} Data Processing},
  journal = {arXiv:1801.09847},
  year    = {2018}
}

@article{wu2020deepnnLidar,
  title     = {Deep 3D object detection networks using LiDAR data: A review},
  author    = {Wu, Yutian and Wang, Yueyu and Zhang, Shuwei and Ogai, Harutoshi},
  journal   = {IEEE Sensors Journal},
  volume    = {21},
  number    = {2},
  pages     = {1152--1171},
  year      = {2020},
  publisher = {IEEE}
}

@article{zhao2020fusion,
  title     = {Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications},
  author    = {Zhao, Xiangmo and Sun, Pengpeng and Xu, Zhigang and Min, Haigen and Yu, Hongkai},
  journal   = {IEEE Sensors Journal},
  volume    = {20},
  number    = {9},
  pages     = {4901--4913},
  year      = {2020},
  publisher = {IEEE}
}

@inproceedings{Steve2020LocUse,
  author    = {Macenski, Steve and Martín, Francisco and White, Ruffin and Clavero, Jonatan Ginés},
  booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {The Marathon 2: A Navigation System},
  year      = {2020},
  volume    = {},
  number    = {},
  pages     = {2718-2725},
  keywords  = {Navigation;Service robots;Heuristic algorithms;Sensors;Safety;Task analysis;Testing;Service Robots;Software;Middleware and Programming Environments;Behaviour-Based Systems},
  doi       = {10.1109/IROS45743.2020.9341207}
}


@article{Meng2020LocUse,
  author   = {Li, Meng-Gang and Zhu, Hua and You, Shao-Ze and Tang, Chao-Quan},
  journal  = {IEEE Sensors Journal},
  title    = {UWB-Based Localization System Aided With Inertial Sensor for Underground Coal Mine Applications},
  year     = {2020},
  volume   = {20},
  number   = {12},
  pages    = {6652-6669},
  keywords = {Coal mining;Sensors;Robots;Mobile nodes;Position measurement;Robustness;UWB;IMU;EKF;ESKF;coal mine robot},
  doi      = {10.1109/JSEN.2020.2976097}
}


@article{2019MathieuLocUse,
  author   = {Labbé, Mathieu and Michaud, François},
  title    = {RTAB-Map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation},
  journal  = {Journal of Field Robotics},
  volume   = {36},
  number   = {2},
  pages    = {416-446},
  keywords = {perception, position estimation, SLAM},
  doi      = {https://doi.org/10.1002/rob.21831},
  url      = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21831},
  eprint   = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21831},
  abstract = {Abstract Distributed as an open-source library since 2013, real-time appearance-based mapping (RTAB-Map) started as an appearance-based loop closure detection approach with memory management to deal with large-scale and long-term online operation. It then grew to implement simultaneous localization and mapping (SLAM) on various robots and mobile platforms. As each application brings its own set of constraints on sensors, processing capabilities, and locomotion, it raises the question of which SLAM approach is the most appropriate to use in terms of cost, accuracy, computation power, and ease of integration. Since most of SLAM approaches are either visual- or lidar-based, comparison is difficult. Therefore, we decided to extend RTAB-Map to support both visual and lidar SLAM, providing in one package a tool allowing users to implement and compare a variety of 3D and 2D solutions for a wide range of applications with different robots and sensors. This paper presents this extended version of RTAB-Map and its use in comparing, both quantitatively and qualitatively, a large selection of popular real-world datasets (e.g., KITTI, EuRoC, TUM RGB-D, MIT Stata Center on PR2 robot), outlining strengths, and limitations of visual and lidar SLAM configurations from a practical perspective for autonomous navigation applications.},
  year     = {2019}
}

@inproceedings{bret-LRV-mobility-ECCOMAS2025,
  title     = {An Analysis of the Mobility Performance of the Apollo Mission Lunar Roving Vehicle (LRV)},
  author    = {Witt, Bret and Haque, Jamiul and Chen, Patrick and Unjhawala, Huzaifa and Arivoli, Ganesh and Zhang, Harry and Zhou, Json and Santelia, Matteo and Reato, Federico and Tasora, Alessandro and Bakke, Luning and Serban, Radu and Negrut, Dan},
  booktitle = {Proceedings of the 12th ECCOMAS Thematic Conference on Multibody Dynamics},
  year      = {2025},
  address   = {Innsbruck, Austria}
}

@misc{zouChronoGymnasium2026,
  author = {Zou, Bocheng and Zhang, Harry and Slaton, Khailanii and Wang, Jingquan and Ruan, Derrick and Unjhawala, Huzaifa Mustafa and Serban, Radu and Negrut, Dan},
  title  = {Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework},
  year   = {2026},
  note   = {Conference manuscript}
}

@inproceedings{benatti2021pychrono,
  title        = {Pychrono and Gym-Chrono: A Deep Reinforcement Learning Framework Leveraging Multibody Dynamics to Control Autonomous Vehicles and Robots},
  author       = {Benatti, Simone and Young, Aaron and Elmquist, Asher and Taves, Jay and Serban, Radu and Mangoni, Dario and Tasora, Alessandro and Negrut, Dan},
  booktitle    = {Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (NODYCON 2021), Volume 2},
  pages        = {573--584},
  year         = {2021},
  organization = {Springer},
  doi          = {10.1007/978-3-030-81166-2_50}
}

@article{huzaifaIEEE-AccessCalibration2024,
  author  = {Unjhawala, Huzaifa and Hansen, Thomas and Zhang, Harry and Caldraru, Stefan and Chatterjee, Shouvik and Bakke, Luning and Wu, Jinlong and Serban, Radu and Negrut, Dan},
  journal = {IEEE Access},
  title   = {An Expeditious and Expressive Vehicle Dynamics Model for Applications in Controls and Reinforcement Learning},
  year    = {2024},
  volume  = {12},
  pages   = {33000-33015},
  doi     = {10.1109/ACCESS.2024.3368874}
}


@article{benekohal1988carsim,
  title     = {{CARSIM}: Car-following model for simulation of traffic in normal and stop-and-go conditions},
  author    = {Benekohal, Rahim F and Treiterer, Joseph},
  journal   = {Transportation research record},
  volume    = {1194},
  pages     = {99--111},
  year      = {1988},
  publisher = {SAGE Publishing}
}

@article{kovacs2023optimizationtubecontrol,
  title     = {Optimization-based Model Predictive Tube Control for Autonomous Ground Vehicles with Minimal Tuning Parameters},
  author    = {Kovacs, Adorjan and Vajk, Istvan},
  journal   = {Unmanned Systems},
  volume    = {11},
  number    = {01},
  pages     = {93--108},
  year      = {2023},
  publisher = {World Scientific}
}
@article{zhang2021adaptiveMPCpathfollowing,
  title     = {Trajectory tracking control of autonomous ground vehicles using adaptive learning MPC},
  author    = {Zhang, Kunwu and Sun, Qi and Shi, Yang},
  journal   = {IEEE Transactions on Neural Networks and Learning Systems},
  volume    = {32},
  number    = {12},
  pages     = {5554--5564},
  year      = {2021},
  publisher = {IEEE}
}

@article{sierra2024RLpathfollowing,
  title     = {Combining reinforcement learning and conventional control to improve automatic guided vehicles tracking of complex trajectories},
  author    = {Sierra-Garcia, J Enrique and Santos, Matilde},
  journal   = {Expert Systems},
  volume    = {41},
  number    = {2},
  pages     = {e13076},
  year      = {2024},
  publisher = {Wiley Online Library}
}

@article{jin2023pathfollowing,
  title   = {Nonlinear robust control of trajectory-following for autonomous ground electric vehicles with active front steering system},
  author  = {Jin, Xianjian and Wang, Qikang and Yan, Zeyuan and Yang, Hang},
  journal = {AIMS Math},
  volume  = {8},
  number  = {5},
  pages   = {11151--11179},
  year    = {2023}
}

@article{pan2020imitation,
  title     = {Imitation learning for agile autonomous driving},
  author    = {Pan, Yunpeng and Cheng, Ching-An and Saigol, Kamil and Lee, Keuntaek and Yan, Xinyan and Theodorou, Evangelos A and Boots, Byron},
  journal   = {The International Journal of Robotics Research},
  volume    = {39},
  number    = {2-3},
  pages     = {286--302},
  year      = {2020},
  publisher = {SAGE Publications Sage UK: London, England}
}

@inproceedings{hamilton2022ZST,
  title        = {Zero-shot policy transfer in autonomous racing: Reinforcement learning vs imitation learning},
  author       = {Hamilton, Nathaniel and Musau, Patrick and Lopez, Diego Manzanas and Johnson, Taylor T},
  booktitle    = {2022 IEEE International Conference on Assured Autonomy (ICAA)},
  pages        = {11--20},
  year         = {2022},
  organization = {IEEE}
}

@inproceedings{kalapos2020RLpathfollowing,
  title        = {Sim-to-real reinforcement learning applied to end-to-end vehicle control},
  author       = {Kalapos, Andr{\'a}s and G{\'o}r, Csaba and Moni, R{\'o}bert and Harmati, Istv{\'a}n},
  booktitle    = {2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR)},
  pages        = {1--6},
  year         = {2020},
  organization = {IEEE}
}

@inproceedings{Osinski2020SimbasedRL,
  title        = {Simulation-based reinforcement learning for real-world autonomous driving},
  author       = {Osi{\'n}ski, B{\l}a{\.z}ej and Jakubowski, Adam and Ziecina, Pawe{\l} and Mi{\l}o{\'s}, Piotr and Galias, Christopher and Homoceanu, Silviu and Michalewski, Henryk},
  booktitle    = {2020 IEEE international conference on robotics and automation (ICRA)},
  pages        = {6411--6418},
  year         = {2020},
  organization = {IEEE}
}

@article{voogd2023reinforcementpathfollowing,
  title     = {Reinforcement learning from simulation to real world autonomous driving using digital twin},
  author    = {Voogd, Kevin L and Allamaa, Jean Pierre and Alonso-Mora, Javier and Son, Tong Duy},
  journal   = {IFAC-PapersOnLine},
  volume    = {56},
  number    = {2},
  pages     = {1510--1515},
  year      = {2023},
  publisher = {Elsevier}
}

@article{Lyu2021TDCP-GPS/IMU,
  author   = {Lyu, Pin and Bai, Shiyu and Lai, Jizhou and Wang, Bingqing and Sun, Xin and Huang, Kai},
  journal  = {IEEE Transactions on Instrumentation and Measurement},
  title    = {Optimal Time Difference-Based TDCP-GPS/IMU Navigation Using Graph Optimization},
  year     = {2021},
  volume   = {70},
  number   = {},
  pages    = {1-10},
  keywords = {Satellites;Navigation;Kalman filters;Global Positioning System;Position measurement;Global positioning system (GPS) and inertial measurement unit (IMU) (GPS/IMU);graph optimization;integer-free constraints;optimal time difference;time-differenced carrier phase (TDCP);vehicle navigation},
  doi      = {10.1109/TIM.2021.3125990}
}

@article{wang2023GPlearningandMPC,
  title     = {Learning-based model predictive control for improved mobile robot path following using Gaussian processes and feedback linearization},
  author    = {Wang, Jie and Fader, Michael TH and Marshall, Joshua A},
  journal   = {Journal of Field Robotics},
  year      = {2023},
  publisher = {Wiley Online Library}
}

@article{Rother2023EventTriggeredControl,
  author   = {Rother, Christopher and Zhou, Zhaodong and Chen, Jun},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control},
  year     = {2023},
  volume   = {8},
  number   = {8},
  pages    = {5015-5022},
  keywords = {Cameras;Testing;Education;Wheels;Sensors;Costs;Motion planning;Scale vehicles;autonomous vehicles;model predictive control;event-triggered control;motion control;path following;four-wheel steering},
  doi      = {10.1109/LRA.2023.3291916}
}

@article{Reid2019LocalizationAV,
  author     = {Tyler G. R. Reid and
                Sarah E. Houts and
                Robert Cammarata and
                Graham Mills and
                Siddharth Agarwal and
                Ankit Vora and
                Gaurav Pandey},
  title      = {Localization Requirements for Autonomous Vehicles},
  journal    = {CoRR},
  volume     = {abs/1906.01061},
  year       = {2019},
  url        = {http://arxiv.org/abs/1906.01061},
  eprinttype = {arXiv},
  eprint     = {1906.01061},
  timestamp  = {Thu, 16 Jan 2020 10:28:32 +0100},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1906-01061.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}



@article{Xuemin2023Sim2RealSurvey,
  author   = {Hu, Xuemin and Li, Shen and Huang, Tingyu and Tang, Bo and Huai, Rouxing and Chen, Long},
  journal  = {IEEE Transactions on Intelligent Vehicles},
  title    = {How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence},
  year     = {2023},
  volume   = {},
  number   = {},
  pages    = {1-20},
  keywords = {Autonomous vehicles;Digital twins;Task analysis;Metalearning;Virtual reality;Vehicle dynamics;Solid modeling;autonomous driving;sim2real;digital twins;parallel intelligence;reality gap},
  doi      = {10.1109/TIV.2023.3312777}
}


@article{Mulero2024BenchmarkingSimRealGap,
  author   = {Blanco-Mulero, David and Barbany, Oriol and Alcan, Gokhan and Colomé, Adrià and Torras, Carme and Kyrki, Ville},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {Benchmarking the Sim-to-Real Gap in Cloth Manipulation},
  year     = {2024},
  volume   = {9},
  number   = {3},
  pages    = {2981-2988},
  keywords = {Manipulator dynamics;Trajectory;Task analysis;Benchmark testing;Fabrics;Dynamics;Engines;Data sets for robot learning;bimanual manipulation;deformable object manipulation},
  doi      = {10.1109/LRA.2024.3360814}
}


@article{Erica2021Sim2RealRL,
  author   = {Salvato, Erica and Fenu, Gianfranco and Medvet, Eric and Pellegrino, Felice Andrea},
  journal  = {IEEE Access},
  title    = {Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning},
  year     = {2021},
  volume   = {9},
  number   = {},
  pages    = {153171-153187},
  keywords = {Task analysis;Reinforcement learning;Training;Robot control;Process control;Faces;Reality gap;reinforcement learning;robotics;sim-to-real},
  doi      = {10.1109/ACCESS.2021.3126658}
}


@article{Trentsios2022OvercomingSimRealGap,
  title    = {Overcoming the Sim-to-Real Gap in Autonomous Robots},
  journal  = {Procedia CIRP},
  volume   = {109},
  pages    = {287-292},
  year     = {2022},
  note     = {32nd CIRP Design Conference (CIRP Design 2022) - Design in a changing world},
  issn     = {2212-8271},
  doi      = {https://doi.org/10.1016/j.procir.2022.05.251},
  url      = {https://www.sciencedirect.com/science/article/pii/S2212827122007004},
  author   = {Pascalis Trentsios and Mario Wolf and Detlef Gerhard},
  keywords = {reinforcement learning, machine learning, sim-to-real, simulation, Unity, robotics},
  abstract = {When designing and planning an autonomous, adaptive system utilizing the benefits of Artificial Intelligence (AI), both the specific field of AI and the desired use case must be addressed to achieve a reliable system. In the field of autonomous robotics, the authors focus on the aspect of training a robot not in reality, where training is reliant on real-time and the amount of hardware systems performing the training, but in a virtual environment, which can be parallelized and customized individually. In this paper, a functional simulation of a real robot was developed and trained using reinforcement learning in a virtual environment to successfully complete a specified task. The trained model was then transferred to the physical robot, which itself was able to complete the specified task in the real world, without the need of previous real-world training. Due to extensive observation and analysis of the physical system’s characteristics, the presented direct transfer approach does not rely on domain randomization, which is usually applied in this field.}
}

@inproceedings{Afzal2021SimulationRoboticsTestAutomation,
  author    = {Afzal, Afsoon and Katz, Deborah S. and Le Goues, Claire and Timperley, Christopher S.},
  booktitle = {2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST)},
  title     = {Simulation for Robotics Test Automation: Developer Perspectives},
  year      = {2021},
  volume    = {},
  number    = {},
  pages     = {263-274},
  keywords  = {Software testing;Automation;Manuals;Tools;Reproducibility of results;Reliability;Robots;robotics simulation challenges;robotics testing;simulation testing;testing challenges;empirical study;practitioner survey},
  doi       = {10.1109/ICST49551.2021.00036}
}



@article{kadian2020sim2real,
  author   = {Kadian, Abhishek and Truong, Joanne and Gokaslan, Aaron and Clegg, Alexander and Wijmans, Erik and Lee, Stefan and Savva, Manolis and Chernova, Sonia and Batra, Dhruv},
  journal  = {IEEE Robotics and Automation Letters},
  title    = {{Sim2Real} Predictivity: Does Evaluation in Simulation Predict Real-World Performance?},
  year     = {2020},
  volume   = {5},
  number   = {4},
  pages    = {6670-6677},
  keywords = {Robots;Navigation;Task analysis;Predictive models;Correlation;Measurement;Visual-based navigation;reinforcement learning},
  doi      = {10.1109/LRA.2020.3013848}
}


`@article{Mendonca2023ALANAE,
  title   = {ALAN: Autonomously Exploring Robotic Agents in the Real World},
  author  = {Russell Mendonca and Shikhar Bahl and Deepak Pathak},
  journal = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  year    = {2023},
  pages   = {3044-3050},
  url     = {https://api.semanticscholar.org/CorpusID:256827353}
}
@article{Huang2023DefGraspNetsGP,
  title   = {DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets},
  author  = {Isabella Huang and Yashraj S. Narang and Ruzena Bajcsy and Fabio Ramos and Tucker Hermans and Dieter Fox},
  journal = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  year    = {2023},
  pages   = {5894-5901},
  url     = {https://api.semanticscholar.org/CorpusID:257771380}
}
@article{Bartsch2023SculptBotPM,
  title   = {SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation},
  author  = {Alison Bartsch and Charlotte Avra and Amir Barati Farimani},
  journal = {ArXiv},
  year    = {2023},
  volume  = {abs/2309.08728},
  url     = {https://api.semanticscholar.org/CorpusID:262045186}
}
@inproceedings{li2023dexdeform,
  title     = {DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics},
  author    = {Sizhe Li and Zhiao Huang and Tao Chen and Tao Du and Hao Su and Joshua B. Tenenbaum and Chuang Gan},
  booktitle = {The Eleventh International Conference on Learning Representations },
  year      = {2023},
  url       = {https://openreview.net/forum?id=LIV7-_7pYPl}
}
@article{Lu2022ExcavationRL,
  title   = {Excavation Reinforcement Learning Using Geometric Representation},
  author  = {Qingkai Lu and Yifan Zhu and Liangjun Zhang},
  journal = {IEEE Robotics and Automation Letters},
  year    = {2022},
  volume  = {PP},
  pages   = {1-1},
  url     = {https://api.semanticscholar.org/CorpusID:246294576}
}
@inproceedings{Borrmann2021TowardsRT,
  title  = {Towards realizing the information backbone of robotized construction},
  author = {Andr{\'e} Borrmann},
  year   = {2021},
  url    = {https://api.semanticscholar.org/CorpusID:244716944}
}

@article{Attalla2023,
  title   = {Construction robotics: review of intelligent features},
  author  = {Attalla, Ahmed and Attalla, Omar and Moussa, Ahmed and Shafique, Duaa and Raean, Saleh Ba and Hegazy, Tarek},
  journal = {International Journal of Intelligent Robotics and Applications},
  volume  = {7},
  number  = {3},
  pages   = {535--555},
  year    = {2023},
  month   = {Sep},
  doi     = {10.1007/s41315-023-00275-1},
  url     = {https://doi.org/10.1007/s41315-023-00275-1},
  issn    = {2366-598X}
}

@article{2023RyanRoboticExcavationSci,
  author  = {Ryan Luke Johns  and Martin Wermelinger  and Ruben Mascaro  and Dominic Jud  and Ilmar Hurkxkens  and Lauren Vasey  and Margarita Chli  and Fabio Gramazio  and Matthias Kohler  and Marco Hutter },
  title   = {A framework for robotic excavation and dry stone construction using on-site materials},
  journal = {Science Robotics},
  volume  = {8},
  number  = {84},
  pages   = {eabp9758},
  year    = {2023},
  doi     = {10.1126/scirobotics.abp9758},
  url     = {https://www.science.org/doi/abs/10.1126/scirobotics.abp9758},
  eprint  = {https://www.science.org/doi/pdf/10.1126/scirobotics.abp9758}
}


@article{Lee2023CraterGraderAR,
  title   = {CraterGrader: Autonomous Robotic Terrain Manipulation for Lunar Site Preparation and Earthmoving},
  author  = {Ryan Lee and Benjamin Younes and Alexander Pletta and John Harrington and Russell Q. Wong and William Red Whittaker},
  journal = {ArXiv},
  year    = {2023},
  volume  = {abs/2311.01697},
  url     = {https://api.semanticscholar.org/CorpusID:265019081}
}

@inproceedings{Li2024DeformNetLS,
  title  = {DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation},
  author = {Chenchang Li and Zihao Ai and Tong Wu and Xiaosa Li and Wenbo Ding and Huazhe Xu},
  year   = {2024},
  url    = {https://api.semanticscholar.org/CorpusID:267627310}
}

@inproceedings{MooreStouchKeneralizedEkf2014,
  author    = {T. Moore and D. Stouch},
  title     = {A Generalized {Extended Kalman Filter} Implementation for the Robot Operating System},
  year      = {2014},
  month     = {July},
  booktitle = {Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS-13)},
  publisher = {Springer}
}

@article{lowMassRobot2009,
  title     = {Global planning on the mars exploration rovers: Software integration and surface testing},
  author    = {Carsten, Joseph and Rankin, Arturo and Ferguson, Dave and Stentz, Anthony},
  journal   = {Journal of Field Robotics},
  volume    = {26},
  number    = {4},
  pages     = {337--357},
  year      = {2009},
  publisher = {Wiley Online Library}
}

@article{skonieczny-red-excavation2016,
  title     = {Advantages of continuous excavation in lightweight planetary robotic operations},
  author    = {Skonieczny, Krzysztof and Wettergreen, David and Whittaker, William-Red},
  journal   = {The International Journal of Robotics Research},
  volume    = {35},
  number    = {9},
  pages     = {1121--1139},
  year      = {2016},
  publisher = {SAGE Publications Sage UK: London, England}
}

@misc{heliumGravityOffset-bbc-2024,
  author       = {Pearson, Ezzy},
  title        = {How scientists are tackling the biggest problems of returning humans to the Moon},
  year         = {2024},
  howpublished = {BBC Science Focus: \url{https://www.sciencefocus.com/space/moon-on-earth}},
  note         = {Accessed: [March 9 2024]}
}



@misc{heliumGravityOffset2022,
  author       = {Binder, Cole and Hostetter, Jeffrey and Kowalczyk, Max and Lineham, Benjamin and Mizer, Henry and Mullen, Danielle and Purdom, Sydney and Rago, Emily and Bodeau, Donna},
  title        = {Gravity offload rig for lunar rover testing wins Spring 2022 Capstone Design Showcase},
  year         = {2022},
  howpublished = {\url{https://www.minesnewsroom.com/news/gravity-offload-rig-lunar-rover-testing-wins-spring-2022-capstone-design-showcase}},
  note         = {Accessed: [March 9 2024]}
}

@misc{nasaRoboticConstruction2021,
  author       = {NASA},
  title        = {Design for Robotic Construction on the Moon ISU SSP 21 STRIVES},
  year         = {2021},
  howpublished = {\url{https://ntrs.nasa.gov/api/citations/20210018912/downloads/Design%20for%20Robotic%20Construction%20on%20the%20Moon%20ISU%20SSP%2021%20STRIVES.pdf}},
  note         = {Accessed: [28th January 2024]}
}

@inproceedings{han-reduceGrav2010,
  title     = {Gravity-off-loading system for large-displacement ground testing of spacecraft mechanisms},
  author    = {Han, Olyvia and Kienholz, David and Janzen, Paul and Kidney, Scott},
  booktitle = {Proceedings of the 40th aerospace mechanisms symposium},
  year      = {2010}
}

@inproceedings{valleGravity2017,
  title     = {Reduced gravity testing of robots (and humans) using the active response gravity offload system},
  author    = {Valle, Paul},
  booktitle = {International Conference on Intelligent Robots and Systems ({IROS})},
  number    = {JSC-CN-40487},
  year      = {2017}
}

@misc{reducedGravSim-patent2015,
  author       = {Dungan, Larry K. and Valle, Paul S. and Bankieris, Derek R. and Lieberman, Asher P. and Redden, Lee and Shy, Cecil},
  title        = {Active Response Gravity Offload and Method},
  howpublished = {U.S. Patent},
  number       = {9194977B1},
  year         = {2015},
  note         = {Patent Office: U.S. Patent and Trademark Office}
}

@misc{constructionRobot2023,
  author       = {Mercurious Developments},
  title        = {Construction Robot Revolution},
  year         = {2023},
  howpublished = {\url{https://www.mercuriousdevelopments.com/2023/06/20/construction-robot-revolution/}},
  note         = {Accessed: [28th January 2024]}
}

@inproceedings{2021HeidenNeuralSim,
  author    = {Heiden, Eric and Millard, David and Coumans, Erwin and Sheng, Yizhou and Sukhatme, Gaurav S.},
  title     = {NeuralSim: Augmenting Differentiable Simulators with Neural Networks},
  year      = {2021},
  publisher = {IEEE Press},
  url       = {https://doi.org/10.1109/ICRA48506.2021.9560935},
  doi       = {10.1109/ICRA48506.2021.9560935},
  booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
  pages     = {9474–9481},
  location  = {Xi'an, China}
}  
@article{2017GifthalerRobAD,
  author    = {Markus Giftthaler and Michael Neunert and Markus Stäuble and Marco Frigerio and Claudio Semini and Jonas Buchli},
  title     = {Automatic differentiation of rigid body dynamics for optimal control and estimation},
  journal   = {Advanced Robotics},
  volume    = {31},
  number    = {22},
  pages     = {1225-1237},
  year      = {2017},
  publisher = {Taylor & Francis},
  doi       = {10.1080/01691864.2017.1395361},
  url       = {https://doi.org/10.1080/01691864.2017.1395361},
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@misc{finalReportWorkshopRobo2018,
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  booktitle = {Proceedings of the 27th annual conference on Computer graphics and interactive techniques},
  pages     = {219--228},
  year      = {2000}
}

@inproceedings{simmonsFoxMultiRobot2000,
  title     = {Coordination for multi-robot exploration and mapping},
  author    = {Simmons, Reid and Apfelbaum, David and Burgard, Wolfram and Fox, Dieter and Moors, Mark and Thrun, Sebastian and Younes, H{\aa}kan},
  booktitle = {Aaai/Iaai},
  pages     = {852--858},
  year      = {2000}
}

@article{albani2007,
  title     = {Virtual reality-assisted robotic surgery simulation},
  author    = {Albani, Justin M and Lee, David I},
  journal   = {Journal of Endourology},
  volume    = {21},
  number    = {3},
  pages     = {285--287},
  year      = {2007},
  publisher = {Mary Ann Liebert, Inc. 2 Madison Avenue Larchmont, NY 10538 USA}
}

@incollection{humanBehaviorRobotics2007,
  title     = {Human computing and machine understanding of human behavior: A survey},
  author    = {Pantic, Maja and Pentland, Alex and Nijholt, Anton and Huang, Thomas S},
  booktitle = {Artifical Intelligence for Human Computing},
  pages     = {47--71},
  year      = {2007},
  publisher = {Springer}
}

@article{sociallyInteractiveRobotsSurvey2003,
  title     = {A survey of socially interactive robots},
  author    = {Fong, Terrence and Nourbakhsh, Illah and Dautenhahn, Kerstin},
  journal   = {Robotics and autonomous systems},
  volume    = {42},
  number    = {3-4},
  pages     = {143--166},
  year      = {2003},
  publisher = {Elsevier}
}

@article{robotDeliberation2017,
  title     = {Deliberation for autonomous robots: A survey},
  author    = {Ingrand, F{\'e}lix and Ghallab, Malik},
  journal   = {Artificial Intelligence},
  volume    = {247},
  pages     = {10--44},
  year      = {2017},
  publisher = {Elsevier}
}

@article{autonomousSysVerif2013,
  title     = {Verifying autonomous systems},
  author    = {Fisher, Michael and Dennis, Louise and Webster, Matt},
  journal   = {Communications of the ACM},
  volume    = {56},
  number    = {9},
  pages     = {84--93},
  year      = {2013},
  publisher = {ACM New York, NY, USA}
}

@article{surveyRLrobotics2013,
  title     = {Reinforcement learning in robotics: A survey},
  author    = {Kober, Jens and Bagnell, Andrew and Peters, Jan},
  journal   = {The International Journal of Robotics Research},
  volume    = {32},
  number    = {11},
  pages     = {1238--1274},
  year      = {2013},
  publisher = {SAGE Publications Sage UK: London, England}
}

@article{multirobotExploration2005,
  title     = {Coordinated multi-robot exploration},
  author    = {Burgard, Wolfram and Moors, Mark and Stachniss, Cyrill and Schneider, Frank E},
  journal   = {IEEE Transactions on robotics},
  volume    = {21},
  number    = {3},
  pages     = {376--386},
  year      = {2005},
  publisher = {IEEE}
}

@article{sturmLearnArticulatedRobots2011,
  title   = {A probabilistic framework for learning kinematic models of articulated objects},
  author  = {Sturm, J{\"u}rgen and Stachniss, Cyrill and Burgard, Wolfram},
  journal = {Journal of Artificial Intelligence Research},
  volume  = {41},
  pages   = {477--526},
  year    = {2011}
}

@article{surgicalRobotics2015,
  title     = {Current capabilities and development potential in surgical robotics},
  author    = {Hoeckelmann, Mathias and Rudas, Imre J and Fiorini, Paolo and Kirchner, Frank and Haidegger, Tamas},
  journal   = {International Journal of Advanced Robotic Systems},
  volume    = {12},
  number    = {5},
  pages     = {61},
  year      = {2015},
  publisher = {SAGE Publications Sage UK: London, England}
}

##################################################

@article{garciaMPC1989,
  title     = {Model predictive control: Theory and practice—A survey},
  author    = {Garcia, Carlos E and Prett, David M and Morari, Manfred},
  journal   = {Automatica},
  volume    = {25},
  number    = {3},
  pages     = {335--348},
  year      = {1989},
  publisher = {Elsevier}
}

@article{paulos2015automated,
  title     = {Automated self-assembly of large maritime structures by a team of robotic boats},
  author    = {Paulos, James and Eckenstein, Nick and Tosun, Tarik and Seo, Jungwon and Davey, Jay and Greco, Jonathan and Kumar, Vijay and Yim, Mark},
  journal   = {IEEE Transactions on Automation Science and Engineering},
  volume    = {12},
  number    = {3},
  pages     = {958--968},
  year      = {2015},
  publisher = {IEEE}
}

@article{realTimePathPlanning,
  title   = {Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment},
  author  = {Peng Yao and Honglun Wang and Zikang Su},
  journal = {Aerospace Science and Technology},
  volume  = {47},
  pages   = {269-279},
  year    = {2015},
  issn    = {1270-9638},
  doi     = {https://doi.org/10.1016/j.ast.2015.09.037},
  url     = {https://www.sciencedirect.com/science/article/pii/S1270963815003089}
}

@article{loianno2017cooperative,
  title     = {Cooperative transportation using small quadrotors using monocular vision and inertial sensing},
  author    = {Loianno, Giuseppe and Kumar, Vijay},
  journal   = {IEEE Robotics and Automation Letters},
  volume    = {3},
  number    = {2},
  pages     = {680--687},
  year      = {2017},
  publisher = {IEEE}
}

@inproceedings{wang2016kinematic,
  title        = {Kinematic multi-robot manipulation with no communication using force feedback},
  author       = {Wang, Zijian and Schwager, Mac},
  booktitle    = {2016 IEEE international conference on robotics and automation (ICRA)},
  pages        = {427--432},
  year         = {2016},
  organization = {IEEE}
}

@inproceedings{mellinger2013cooperative,
  title        = {Cooperative grasping and transport using multiple quadrotors},
  author       = {Mellinger, Daniel and Shomin, Michael and Michael, Nathan and Kumar, Vijay},
  booktitle    = {Distributed Autonomous Robotic Systems: The 10th International Symposium},
  pages        = {545--558},
  year         = {2013},
  organization = {Springer}
}

@article{caoMultiAgentCoordination2012,
  title     = {An overview of recent progress in the study of distributed multi-agent coordination},
  author    = {Cao, Yongcan and Yu, Wenwu and Ren, Wei and Chen, Guanrong},
  journal   = {IEEE Transactions on Industrial informatics},
  volume    = {9},
  number    = {1},
  pages     = {427--438},
  year      = {2012},
  publisher = {IEEE}
}

@inproceedings{weiWang2020,
  author    = {Wang, Wei and Wang, Zijian and Mateos, Luis and Huang, Kuan Wei and Schwager, Mac and Ratti, Carlo and Rus, Daniela},
  booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {Distributed Motion Control for Multiple Connected Surface Vessels},
  year      = {2020},
  volume    = {},
  number    = {},
  pages     = {11658-11665},
  doi       = {10.1109/IROS45743.2020.9340743}
}

@article{baldassarrePhysicallyConnectedRobots2007,
  title     = {Self-organized coordinated motion in groups of physically connected robots},
  author    = {Baldassarre, Gianluca and Trianni, Vito and Bonani, Michael and Mondada, Francesco and Dorigo, Marco and Nolfi, Stefano},
  journal   = {IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  volume    = {37},
  number    = {1},
  pages     = {224--239},
  year      = {2007},
  publisher = {IEEE}
}

@article{latchingUnderwater2001,
  author  = {Singh, H. and Bellingham, J.G. and Hover, F. and Lemer, S. and Moran, B.A. and von der Heydt, K. and Yoerger, D.},
  journal = {IEEE Journal of Oceanic Engineering},
  title   = {Docking for an autonomous ocean sampling network},
  year    = {2001},
  volume  = {26},
  number  = {4},
  pages   = {498-514},
  doi     = {10.1109/48.972084}
}

@inproceedings{danielaRusLatching2019,
  author    = {Mateos, Luis A. and Wang, Wei and Gheneti, Banti and Duarte, Fabio and Ratti, Carlo and Rus, Daniela},
  booktitle = {2019 International Conference on Robotics and Automation (ICRA)},
  title     = {Autonomous Latching System for Robotic Boats},
  year      = {2019},
  volume    = {},
  number    = {},
  pages     = {7933-7939},
  doi       = {10.1109/ICRA.2019.8793525}
}

@article{olfatiMultiAgentCoordination2004,
  title     = {Consensus problems in networks of agents with switching topology and time-delays},
  author    = {Olfati-Saber, Reza and Murray, Richard M},
  journal   = {IEEE Transactions on automatic control},
  volume    = {49},
  number    = {9},
  pages     = {1520--1533},
  year      = {2004},
  publisher = {IEEE}
}

@article{semanticRobotPlanning2008,
  title     = {Robot task planning using semantic maps},
  author    = {Galindo, Cipriano and Fern{\'a}ndez-Madrigal, Juan-Antonio and Gonz{\'a}lez, Javier and Saffiotti, Alessandro},
  journal   = {Robotics and autonomous systems},
  volume    = {56},
  number    = {11},
  pages     = {955--966},
  year      = {2008},
  publisher = {Elsevier}
}

@inproceedings{semanticRoboticsLanguage2011,
  title        = {Towards semantic robot description languages},
  author       = {Kunze, Lars and Roehm, Tobias and Beetz, Michael},
  booktitle    = {2011 IEEE International Conference on Robotics and Automation},
  pages        = {5589--5595},
  year         = {2011},
  organization = {IEEE}
}

@inproceedings{robotarium2017,
  title        = {The robotarium: A remotely accessible swarm robotics research testbed},
  author       = {Pickem, Daniel and Glotfelter, Paul and Wang, Li and Mote, Mark and Ames, Aaron and Feron, Eric and Egerstedt, Magnus},
  booktitle    = {2017 IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {1699--1706},
  year         = {2017},
  organization = {IEEE}
}

##################################################
@inproceedings{ros2LatencyDresden2021,
  title        = {Latency analysis of ros2 multi-node systems},
  author       = {Kronauer, Tobias and Pohlmann, Joshwa and Matth{\'e}, Maximilian and Smejkal, Till and Fettweis, Gerhard},
  booktitle    = {2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)},
  pages        = {1--7},
  year         = {2021},
  organization = {IEEE}
}

@inproceedings{ros2LatencyJapan2016,
  title     = {Exploring the performance of ROS2},
  author    = {Maruyama, Yuya and Kato, Shinpei and Azumi, Takuya},
  booktitle = {Proceedings of the 13th International Conference on Embedded Software},
  pages     = {1--10},
  year      = {2016}
}

@inproceedings{trustInAutomation2017,
  title        = {Building a framework to manage trust in automation},
  author       = {Metcalfe, J and Marathe, A and Haynes, B and Paul, V and Gremillion, G and Drnec, K and Atwater, C and Estepp, J and Lukos, J and Carter, E and Nothwang, W},
  booktitle    = {Micro-and Nanotechnology Sensors, Systems, and Applications IX},
  volume       = {10194},
  pages        = {101941U},
  year         = {2017},
  organization = {International Society for Optics and Photonics}
}

@book{modelFreeRoboSurvey2013,
  title     = {A Survey on Policy Search for Robotics},
  author    = {Deisenroth, M.P. and Neumann, G. and Peters, J.},
  isbn      = {9781601987020},
  series    = {Foundations and Trends{\textregistered} in Robotics Series},
  url       = {\url{https://books.google.com/books?id=pSBUngEACAAJ}},
  year      = {2013},
  publisher = {Now Publishers}
}

@article{DARPA-VRC2012,
  author  = {C. E. {Agüero} and N. {Koenig} and I. {Chen} and H. {Boyer} and S. {Peters} and J. {Hsu} and B. {Gerkey} and S. {Paepcke} and J. L. {Rivero} and J. {Manzo} and E. {Krotkov} and G. {Pratt}},
  journal = {IEEE Transactions on Automation Science and Engineering},
  title   = {Inside the Virtual Robotics Challenge: Simulating Real-Time Robotic Disaster Response},
  year    = {2015},
  volume  = {12},
  number  = {2},
  pages   = {494-506}
}

@inproceedings{roboticsValidationProcess2007,
  title     = {Robot simulation physics validation},
  author    = {Pepper, C and Balakirsky, S and Scrapper, C},
  booktitle = {Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems},
  pages     = {97--104},
  year      = {2007}
}

@incollection{duriezSOFA2012,
  title     = {Sofa: A multi-model framework for interactive physical simulation},
  author    = {Faure, Fran{\c{c}}ois and Duriez, Christian and Delingette, Herv{\'e} and Allard, J{\'e}r{\'e}mie and Gilles, Benjamin and Marchesseau, St{\'e}phanie and Talbot, Hugo and Courtecuisse, Hadrien and Bousquet, Guillaume and Peterlik, Igor and others},
  booktitle = {Soft tissue biomechanical modeling for computer assisted surgery},
  pages     = {283--321},
  year      = {2012},
  publisher = {Springer}
}

@article{duriezSoftTisueRealTime2014,
  title     = {Real-time simulation of contact and cutting of heterogeneous soft-tissues},
  author    = {Courtecuisse, Hadrien and Allard, J{\'e}r{\'e}mie and Kerfriden, Pierre and Bordas, St{\'e}phane PA and Cotin, St{\'e}phane and Duriez, Christian},
  journal   = {Medical image analysis},
  volume    = {18},
  number    = {2},
  pages     = {394--410},
  year      = {2014},
  publisher = {Elsevier}
}

@misc{urdfROS,
  author       = {{Robot Operating System}},
  title        = {{The Unified Robot Description Format (URDF)}},
  howpublished = {\url{http://wiki.ros.org/urdf}},
  year         = {2018},
  note         = {Accessed: 2018-02-15}
}

@inproceedings{taylor2014making,
  title        = {Making Time Make Sense in Robotic Simulation},
  author       = {Taylor, James R and Drumwright, Evan M and Parmer, Gabriel},
  booktitle    = {International Conference on Simulation, Modeling, and Programming for Autonomous Robots},
  pages        = {1--12},
  year         = {2014},
  organization = {Springer}
}

@article{simspark2008,
  title   = {Simspark--concepts and application in the robocup 3{D} soccer simulation league},
  author  = {Boedecker, Joschka and Asada, Minoru},
  journal = {Autonomous Robots},
  volume  = {174},
  pages   = {181},
  year    = {2008}
}

@inproceedings{farchyStone2013,
  title     = {Humanoid robots learning to walk faster: From the real world to simulation and back},
  author    = {Farchy, Alon and Barrett, Samuel and MacAlpine, Patrick and Stone, Peter},
  booktitle = {Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems},
  pages     = {39--46},
  year      = {2013}
}

@inproceedings{sim2Real2018,
  title     = {Sim-to-Real Transfer of Robotic Control with Dynamics Randomization},
  author    = {X. B. Peng and M. Andrychowicz and W. Zaremba and P. Abbeel},
  booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
  year      = {2018},
  volume    = {},
  number    = {},
  pages     = {1-8},
  keywords  = {Robots;Training;Adaptation models;Task analysis;Trajectory;Data models;Robustness},
  doi       = {10.1109/ICRA.2018.8460528},
  issn      = {2577-087X},
  month     = {May}
}

% ---------------------------------
% RoboSimian (JPL)

@article{karumanchi2017team,
  title     = {Team RoboSimian: Semi-autonomous Mobile Manipulation at the 2015 DARPA Robotics Challenge Finals},
  author    = {Karumanchi, Sisir and Edelberg, Kyle and Baldwin, Ian and Nash, Jeremy and Reid, Jason and Bergh, Charles and Leichty, John and Carpenter, Kalind and Shekels, Matthew and Gildner, Matthew and others},
  journal   = {Journal of Field Robotics},
  volume    = {34},
  number    = {2},
  pages     = {305--332},
  year      = {2017},
  publisher = {Wiley Online Library}
}

@article{hebert2015mobile,
  title     = {Mobile manipulation and mobility as manipulation—design and algorithms of RoboSimian},
  author    = {Hebert, Paul and Bajracharya, Max and Ma, Jeremy and Hudson, Nicolas and Aydemir, Alper and Reid, Jason and Bergh, Charles and Borders, James and Frost, Matthew and Hagman, Michael and others},
  journal   = {Journal of Field Robotics},
  volume    = {32},
  number    = {2},
  pages     = {255--274},
  year      = {2015},
  publisher = {Wiley Online Library}
}

% SSIM
@article{wang2004image,
  title   = {{Image Quality Assessment: From Error Visibility to Structural Similarity}},
  author  = {Wang, Zhou and Bovik, Alan C and Sheikh, Hamid R and Simoncelli, Eero P},
  journal = {IEEE Transactions on Image Processing},
  volume  = {13},
  number  = {4},
  pages   = {600--612},
  year    = {2004},
  doi     = {10.1109/TIP.2003.819861}
}

@article{shafaei2016play,
  title   = {Play and learn: Using video games to train computer vision models},
  author  = {Shafaei, Alireza and Little, James J and Schmidt, Mark},
  journal = {arXiv preprint arXiv:1608.01745},
  year    = {2016}
}

@inproceedings{richter2016playing,
  title     = {Playing for Data: Ground Truth from Computer Games},
  author    = {Richter, Stephan R and Vineet, Vibhav and Roth, Stefan and Koltun, Vladlen},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages     = {102--118},
  year      = {2016},
  month     = oct,
  address   = {Amsterdam, the Netherlands}
}

@inproceedings{gaidon2016virtual,
  title     = {Virtual worlds as proxy for multi-object tracking analysis},
  author    = {Gaidon, Adrien and Wang, Qiao and Cabon, Yohann and Vig, Eleonora},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages     = {4340--4349},
  year      = {2016}
}

@inproceedings{zapolsky2016particle,
  title        = {Particle traces for detecting divergent robot behavior},
  author       = {Zapolsky, Samuel and Drumwright, Evan},
  booktitle    = {2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids)},
  pages        = {1217--1224},
  year         = {2016},
  organization = {IEEE}
}

@article{muratore2019assessing,
  title     = {Assessing Transferability from Simulation to Reality for Reinforcement Learning},
  author    = {Muratore, Fabio and Gienger, Michael and Peters, Jan},
  journal   = {IEEE transactions on pattern analysis and machine intelligence},
  year      = {2019},
  publisher = {IEEE}
}

@inproceedings{james2019sim,
  title     = {Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks},
  author    = {James, Stephen and Wohlhart, Paul and Kalakrishnan, Mrinal and Kalashnikov, Dmitry and Irpan, Alex and Ibarz, Julian and Levine, Sergey and Hadsell, Raia and Bousmalis, Konstantinos},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {12619--12629},
  year      = {2019},
  doi       = {10.1109/CVPR.2019.01291}
}

@inproceedings{bewley2019learning,
  title        = {Learning to drive from simulation without real world labels},
  author       = {Bewley, Alex and Rigley, Jessica and Liu, Yuxuan and Hawke, Jeffrey and Shen, Richard and Lam, Vinh-Dieu and Kendall, Alex},
  booktitle    = {2019 International Conference on Robotics and Automation (ICRA)},
  pages        = {4818--4824},
  year         = {2019},
  organization = {IEEE}
}

@inproceedings{prakash2019structured,
  title     = {Structured domain randomization: Bridging the reality gap by context-aware synthetic data},
  author    = {Prakash, Aayush and Boochoon, Shaad and Brophy, Mark and Acuna, David and Cameracci, Eric and State, Gavriel and Shapira, Omer and Birchfield, Stan},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  pages     = {7249--7255},
  year      = {2019},
  address   = {Montreal, QC, Canada},
  doi       = {10.1109/ICRA.2019.8794443}
}

@inproceedings{langford2019applying,
  title        = {Applying evolution and novelty search to enhance the resilience of autonomous systems},
  author       = {Langford, Michael Austin and Simon, Glen A and McKinley, Philip K and Cheng, Betty HC},
  booktitle    = {2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)},
  pages        = {63--69},
  year         = {2019},
  organization = {IEEE}
}

@inproceedings{chebotar2019closing,
  title        = {Closing the sim-to-real loop: Adapting simulation randomization with real world experience},
  author       = {Chebotar, Yevgen and Handa, Ankur and Makoviychuk, Viktor and Macklin, Miles and Issac, Jan and Ratliff, Nathan and Fox, Dieter},
  booktitle    = {2019 International Conference on Robotics and Automation (ICRA)},
  pages        = {8973--8979},
  year         = {2019},
  organization = {IEEE}
}

@inproceedings{kang2019generalization,
  title        = {Generalization through simulation: Integrating simulated and real data into deep reinforcement learning for vision-based autonomous flight},
  author       = {Kang, Katie and Belkhale, Suneel and Kahn, Gregory and Abbeel, Pieter and Levine, Sergey},
  booktitle    = {2019 International Conference on Robotics and Automation (ICRA)},
  pages        = {6008--6014},
  year         = {2019},
  organization = {IEEE}
}

@inproceedings{collins2019quantifying,
  title        = {Quantifying the reality gap in robotic manipulation tasks},
  author       = {Collins, Jack and Howard, David and Leitner, Jurgen},
  booktitle    = {2019 International Conference on Robotics and Automation (ICRA)},
  pages        = {6706--6712},
  year         = {2019},
  organization = {IEEE}
}

% LPIPS
@inproceedings{zhang2018unreasonable,
  title     = {{The Unreasonable Effectiveness of Deep Features as a Perceptual Metric}},
  author    = {Zhang, Richard and Isola, Phillip and Efros, Alexei A. and Shechtman, Eli and Wang, Oliver},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition  (CVPR)},
  pages     = {586--595},
  year      = {2018},
  address   = {Salt Lake City, UT, USA},
  doi       = {10.1109/CVPR.2018.00068}
}

@article{muller2018driving,
  title   = {Driving policy transfer via modularity and abstraction},
  author  = {M{\"u}ller, Matthias and Dosovitskiy, Alexey and Ghanem, Bernard and Koltun, Vladlen},
  journal = {arXiv preprint arXiv:1804.09364},
  year    = {2018}
}


@inproceedings{xia2018gibson,
  title     = {Gibson env: Real-world perception for embodied agents},
  author    = {Xia, Fei and Zamir, Amir R and He, Zhiyang and Sax, Alexander and Malik, Jitendra and Savarese, Silvio},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {9068--9079},
  year      = {2018}
}

@inproceedings{yang2018real,
  title     = {Real-to-virtual domain unification for end-to-end autonomous driving},
  author    = {Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  pages     = {530--545},
  year      = {2018}
}

@article{zhang2019vr,
  title     = {Vr-goggles for robots: Real-to-sim domain adaptation for visual control},
  author    = {Zhang, Jingwei and Tai, Lei and Yun, Peng and Xiong, Yufeng and Liu, Ming and Boedecker, Joschka and Burgard, Wolfram},
  journal   = {IEEE Robotics and Automation Letters},
  volume    = {4},
  number    = {2},
  pages     = {1148--1155},
  year      = {2019},
  publisher = {IEEE}
}

@inproceedings{lowrey2018reinforcement,
  title        = {Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system},
  author       = {Lowrey, Kendall and Kolev, Svetoslav and Dao, Jeremy and Rajeswaran, Aravind and Todorov, Emanuel},
  booktitle    = {2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)},
  pages        = {35--42},
  year         = {2018},
  organization = {IEEE}
}

@inproceedings{todorovComparisonSimEngines2015,
  title        = {Simulation tools for model-based robotics: Comparison of {Bullet}, {Havok}, {MuJoCo}, {ODE} and {PhysX}},
  author       = {Erez, Tom and Tassa, Yuval and Todorov, Emanuel},
  booktitle    = {2015 IEEE international conference on robotics and automation (ICRA)},
  pages        = {4397--4404},
  year         = {2015},
  organization = {IEEE}
}

@article{sunderhauf2018limits,
  title     = {The limits and potentials of deep learning for robotics},
  author    = {S{\"u}nderhauf, Niko and Brock, Oliver and Scheirer, Walter and Hadsell, Raia and Fox, Dieter and Leitner, J{\"u}rgen and Upcroft, Ben and Abbeel, Pieter and Burgard, Wolfram and Milford, Michael and others},
  journal   = {The International Journal of Robotics Research},
  volume    = {37},
  number    = {4-5},
  pages     = {405--420},
  year      = {2018},
  publisher = {SAGE Publications Sage UK: London, England}
}

@article{shu2018dirt,
  title   = {A dirt-t approach to unsupervised domain adaptation},
  author  = {Shu, Rui and Bui, Hung H and Narui, Hirokazu and Ermon, Stefano},
  journal = {arXiv preprint arXiv:1802.08735},
  year    = {2018}
}

@article{rusu2016sim,
  title   = {Sim-to-real robot learning from pixels with progressive nets},
  author  = {Rusu, Andrei A and Vecerik, Mel and Roth{\"o}rl, Thomas and Heess, Nicolas and Pascanu, Razvan and Hadsell, Raia},
  journal = {arXiv preprint arXiv:1610.04286},
  year    = {2016}
}

@inproceedings{muratore2018domain,
  title     = {Domain randomization for simulation-based policy optimization with transferability assessment},
  author    = {Muratore, Fabio and Treede, Felix and Gienger, Michael and Peters, Jan},
  booktitle = {Conference on Robot Learning},
  pages     = {700--713},
  year      = {2018}
}

@inproceedings{hinterstoisser2018pre,
  title     = {On pre-trained image features and synthetic images for deep learning},
  author    = {Hinterstoisser, Stefan and Lepetit, Vincent and Wohlhart, Paul and Konolige, Kurt},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  pages     = {0--0},
  year      = {2018}
}

@inproceedings{lehman2018surprising,
  title        = {The surprising creativity of digital evolution},
  author       = {Lehman, Joel and Clune, Jeff and Misevic, Dusan},
  booktitle    = {Artificial Life Conference Proceedings},
  pages        = {55--56},
  year         = {2018},
  organization = {MIT Press}
}

@inproceedings{codevilla2018offline,
  title     = {On offline evaluation of vision-based driving models},
  author    = {Codevilla, Felipe and Lopez, Antonio M and Koltun, Vladlen and Dosovitskiy, Alexey},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  pages     = {236--251},
  year      = {2018}
}

@inproceedings{bousmalis2018using,
  title        = {Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping},
  author       = {Bousmalis, Konstantinos and Irpan, Alex and Wohlhart, Paul and Bai, Yunfei and Kelcey, Matthew and Kalakrishnan, Mrinal and Downs, Laura and Ibarz, Julian and Pastor, Peter and Konolige, Kurt and Levine, Sergey and Vanhoucke, Vincent},
  booktitle    = {IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {4243--4250},
  year         = {2018},
  organization = {IEEE},
  doi          = {10.1109/ICRA.2018.8460875}
}

@article{hong2018virtual,
  title   = {Virtual-to-real: Learning to control in visual semantic segmentation},
  author  = {Hong, Zhang-Wei and Yu-Ming, Chen and Su, Shih-Yang and Shann, Tzu-Yun and Chang, Yi-Hsiang and Yang, Hsuan-Kung and Ho, Brian Hsi-Lin and Tu, Chih-Chieh and Chang, Yueh-Chuan and Hsiao, Tsu-Ching and others},
  journal = {arXiv preprint arXiv:1802.00285},
  year    = {2018}
}

@article{zhang2017sim,
  title   = {Sim-to-real transfer of visuo-motor policies for reaching in clutter: Domain randomization and adaptation with modular networks},
  author  = {Zhang, Fangyi and Leitner, J{\"u}rgen and Milford, Michael and Corke, Peter},
  journal = {world},
  volume  = {7},
  number  = {8},
  year    = {2017}
}

@inproceedings{peng2018sim,
  title        = {Sim-to-real transfer of robotic control with dynamics randomization},
  author       = {Peng, Xue Bin and Andrychowicz, Marcin and Zaremba, Wojciech and Abbeel, Pieter},
  booktitle    = {2018 IEEE international conference on robotics and automation (ICRA)},
  pages        = {1--8},
  year         = {2018},
  organization = {IEEE}
}

@book{camachoMPC2013,
  title     = {Model predictive control},
  author    = {Camacho, Eduardo and Alba, Carlos Bordons},
  year      = {2013},
  publisher = {Springer Science \& Business Media}
}

@incollection{gruneNMPC2017,
  title     = {Nonlinear model predictive control},
  author    = {Gr{\"u}ne, Lars and Pannek, J{\"u}rgen},
  booktitle = {Nonlinear model predictive control},
  pages     = {45--69},
  year      = {2017},
  publisher = {Springer}
}    

@book{ogataModernControl2010,
  title     = {Modern control engineering},
  author    = {Ogata, Katsuhiko},
  year      = {2010},
  edition   = {5th},
  publisher = {Prentice Hall}
}    

@article{jimRawlingsMPC2000,
  title     = {Constrained model predictive control: Stability and optimality},
  author    = {Mayne, David Q and Rawlings, James B and Rao, Christopher V and Scokaert, Pierre OM},
  journal   = {Automatica},
  volume    = {36},
  number    = {6},
  pages     = {789--814},
  year      = {2000},
  publisher = {Elsevier}
}

@inproceedings{cordts2016cityscapes,
  title     = {{The Cityscapes Dataset for Semantic Urban Scene Understanding}},
  author    = {Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {3213--3223},
  month     = jun,
  year      = {2016},
  address   = {Las Vegas, NV, USA},
  doi       = {10.1109/CVPR.2016.350},
  publisher = {IEEE}
}

@inproceedings{lin2014microsoft,
  title        = {Microsoft coco: Common objects in context},
  author       = {Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
  booktitle    = {European conference on computer vision},
  pages        = {740--755},
  year         = {2014},
  organization = {Springer}
}

@inproceedings{long2015fully,
  title     = {Fully convolutional networks for semantic segmentation},
  author    = {Long, Jonathan and Shelhamer, Evan and Darrell, Trevor},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages     = {3431--3440},
  year      = {2015}
}

@article{chen2017rethinking,
  title   = {Rethinking atrous convolution for semantic image segmentation},
  author  = {Chen, Liang-Chieh and Papandreou, George and Schroff, Florian and Adam, Hartwig},
  journal = {arXiv preprint arXiv:1706.05587},
  year    = {2017}
}


% ---------------------------------

@misc{siminroboticsWorkshop2018,
  author = {Byravan, A. and Fox, D. and Meier, F. and Negrut, D.},
  title  = {{NSF-DOD-NIST Workshop: Simulation-Enabled Design of Intelligent Robots: Challenges and Opportunities -- \url{https://sbel.wisc.edu/simulation-in-robotics-2018/}}},
  date   = {April 17, 2018},
  url    = {\url{https://sbel.wisc.edu/simulation-in-robotics-2018/}}
}

@article{bulletQuadped2020,
  title   = {Learning Agile Robotic Locomotion Skills by Imitating Animals},
  author  = {Peng, Xue Bin and Coumans, Erwin and Zhang, Tingnan and Lee, Tsang-Wei and Tan, Jie and Levine, Sergey},
  journal = {arXiv preprint arXiv:2004.00784},
  year    = {2020}
}

@article{goldmanSnakeRobot2014,
  author  = {Hamidreza Marvi  and Chaohui Gong  and Nick Gravish  and Henry Astley  and Matthew Travers  and Ross L. Hatton  and Joseph R. Mendelson  and Howie Choset  and David L. Hu  and Daniel I. Goldman },
  title   = {Sidewinding with minimal slip: Snake and robot ascent of sandy slopes},
  journal = {Science},
  volume  = {346},
  number  = {6206},
  pages   = {224-229},
  year    = {2014},
  url     = {https://www.science.org/doi/abs/10.1126/science.1255718}
}    

@article{webots2004,
  title     = {Cyberbotics Ltd. Webots: professional mobile robot simulation},
  author    = {Michel, Olivier},
  journal   = {International Journal of Advanced Robotic Systems},
  volume    = {1},
  number    = {1},
  pages     = {5},
  year      = {2004},
  publisher = {SAGE Publications Sage UK: London, England}
}

@misc{NGspice,
  author       = {{Nenzi, Paolo}},
  title        = {{NGspice - open source SPICE simulator}},
  year         = {2024},
  howpublished = {\url{https://ngspice.sourceforge.io/}},
  note         = {Accessed: [March 9 2024]}
}

@misc{genesisSimulator,
  author       = {Authors, Genesis},
  title        = {Genesis: A Universal and Generative Physics Engine for Robotics and Beyond},
  year         = {2024},
  howpublished = {\url{https://github.com/Genesis-Embodied-AI/Genesis}},
  note         = {Accessed: [January 5, 2025]}
}

@inproceedings{habitat19iccv,
  title     = {Habitat: {A} {P}latform for {E}mbodied {AI} {R}esearch},
  author    = {Manolis Savva and Abhishek Kadian and Oleksandr Maksymets and Yili Zhao and Erik Wijmans and Bhavana Jain and Julian Straub and Jia Liu and Vladlen Koltun and Jitendra Malik and Devi Parikh and Dhruv Batra},
  booktitle = {Proc. IEEE/CVF Intnl. Conf. Comp. Vision},
  year      = {2019}
}

@article{Gibson,
  title     = {Interactive {G}ibson Benchmark: {A} Benchmark for Interactive Navigation in Cluttered Environments},
  author    = {Xia, Fei and Shen, William B and Li, Chengshu and Kasimbeg, Priya and Tchapmi, Micael Edmond and Toshev, Alexander and Mart{\'\i}n-Mart{\'\i}n, Roberto and Savarese, Silvio},
  journal   = {IEEE R. \& A. Let.},
  volume    = {5},
  number    = {2},
  pages     = {713--720},
  year      = {2020},
  publisher = {IEEE}
}

@article{karenSimRobotics2021,
  title   = {The role of physics-based simulators in robotics},
  author  = {Liu, Karen and Negrut, Dan},
  journal = {Annual Review of Control, Robotics, and Autonomous Systems},
  volume  = {4},
  number  = {1},
  pages   = {35-58},
  year    = {2021},
  doi     = {10.1146/annurev-control-072220-093055},
  url     = {https://doi.org/10.1146/annurev-control-072220-093055},
  eprint  = {https://doi.org/10.1146/annurev-control-072220-093055}
}

@misc{curiosityobs20210331,
  author       = {Zhou, Jason},
  title        = {Chrono simualtion, {C}uriosity Obstacle Crossing on Flat {SCM} terrain},
  note         = {Simulation-Based Engineering Laboratory, University of Wisconsin-Madison},
  howpublished = {\url{https://uwmadison.box.com/s/mmwhad8ilmudvgbtpzrokbfpbu83zz9j}},
  year         = {2021}
}

@misc{curiosityOverObstacles2021,
  author       = {Zhou, Jason},
  title        = {Chrono simualtion, {C}uriosity Obstacle Crossing, {SCM} terrain},
  note         = {Simulation-Based Engineering Laboratory, University of Wisconsin-Madison},
  howpublished = {\url{https://uwmadison.box.com/s/b9e9kxtnve7kiyz5ol9bmg0f1l6vk3xc}},
  year         = {2021}
}


@misc{viperup15,
  author       = {Zhou, Jason},
  title        = {{VIPER} Rover 15 Degree Uphilling on {SCM} Terrain},
  note         = {Simulation-Based Engineering Laboratory, University of Wisconsin-Madison},
  howpublished = {\url{https://uwmadison.box.com/s/xr84l3veot2g3czczp5lz7dzneio75u3}},
  note         = {Accessed: 2021-03-19}
}

@article{yuh2001underwater,
  title     = {Underwater robotics},
  author    = {Yuh, Junku and West, Michael},
  journal   = {Advanced Robotics},
  volume    = {15},
  number    = {5},
  pages     = {609--639},
  year      = {2001},
  publisher = {Taylor \& Francis}
}

@article{connor2020current,
  title     = {Current Algorithms, Communication Methods and Designs for Underwater Swarm Robotics: A Review},
  author    = {Connor, Jack and Champion, Benjamin and Joordens, Matthew A},
  journal   = {IEEE Sensors Journal},
  volume    = {21},
  number    = {1},
  pages     = {153--169},
  year      = {2020},
  publisher = {IEEE}
}

@article{laranjeira20203d,
  title     = {3D Perception and Augmented Reality Developments in Underwater Robotics for Ocean Sciences},
  author    = {Laranjeira, Matheus and Arnaubec, Aur{\'e}lien and Brignone, Lorenzo and Dune, Claire and Opderbecke, Jan},
  journal   = {Current Robotics Reports},
  pages     = {1--8},
  year      = {2020},
  publisher = {Springer}
}

@article{keerthi2020into,
  title     = {Into the world of underwater swarm robotics: Architecture, communication, applications and challenges},
  author    = {Keerthi, Koyippilly S and Mahapatra, Bandana and Menon, Varun Girijan},
  journal   = {Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science)},
  volume    = {13},
  number    = {2},
  pages     = {110--119},
  year      = {2020},
  publisher = {Bentham Science Publishers}
}    

@misc{viperup20,
  author       = {Zhou, Jason},
  title        = {{VIPER} Rover 20 Degree Uphilling on {SCM} Terrain},
  note         = {Simulation-Based Engineering Laboratory, University of Wisconsin-Madison},
  howpublished = {\url{https://uwmadison.box.com/s/b5dgt6u8ha2tzxp53n22gd8ibdeof4s8}},
  year         = {2021}
}

@misc{viperup25,
  author       = {Zhou, Jason},
  title        = {{VIPER} Rover 25 Degree Uphilling on {SCM} Terrain},
  note         = {Simulation-Based Engineering Laboratory, University of Wisconsin-Madison},
  howpublished = {\url{https://uwmadison.box.com/s/6tp1gzrzq0yaz77e5w01s6lb4xqfjpdt}},
  year         = {2021}
}

@misc{viperSuspension,
  title        = {VIPER's Many Brains are Better than One},
  author       = {Rachel Hoover},
  howpublished = {\url{https://www.nasa.gov/feature/ames/vipers-many-brains-are-better-than-one}},
  year         = {2020}
}

@misc{curiositySummary,
  title        = {Mars Curiosity Rover},
  author       = {NASA},
  howpublished = {\url{https://mars.nasa.gov/msl/spacecraft/rover/summary/}}
}

@misc{M2020Wheel,
  title        = {M2020 WHEEL DESKTOP MODEL 5inch,NASA 3d Resources},
  author       = {NASA and JPL-Caltech},
  howpublished = {\url{https://nasa3d.arc.nasa.gov/detail/Mini-Perseverance-Rover-Wheel}},
  year         = {2020}
}

@misc{curiositycad,
  title        = {Curiosity Clean,NASA 3d Resources},
  author       = {Kumanchik,Brian and NASA and JPL-Caltech},
  howpublished = {\url{https://nasa3d.arc.nasa.gov/detail/curiosity-clean}},
  year         = {2016}
}

@misc{nasaMission,
  title        = {NASA's Next Lunar Rover Progresses Toward 2023 Launch},
  author       = {Chen,Rick},
  howpublished = {\url{https://www.nasa.gov/feature/ames/nasas-next-lunar-rover-progresses-toward-2023-launch}},
  year         = {2021}
}

@misc{nasaVIPER,
  title        = {NASA's Next Lunar Rover: VIPER},
  author       = {},
  howpublished = {\url{https://www.nasa.gov/viper}},
  year         = {2022}
}

@misc{curiosityWheelWear2018,
  title        = {The Rocks vs. Stone Cold Aluminum Wheels},
  author       = {Fraeman, Abigail},
  howpublished = {\url{https://mars.nasa.gov/MSL/mission/mars-rover-curiosity-mission-updates/index.cfm?mu=sol-2032-2033-the-rocks-vs-stone-cold-aluminum-wheels}},
  year         = {2018}
}

@misc{racecarMIT-github2022,
  title        = {GitHub repo, RACECAR Project},
  author       = {\relax RACECAR Team},
  howpublished = {\url{https://github.com/mit-racecar}},
  year         = {2022}
}

@misc{warthog-github2024,
  title        = {GitHub repo, the {Warthog R}obot},
  author       = {Baltovsky, Tony},
  howpublished = {\url{https://github.com/warthog-cpr}},
  year         = {2024}
}

@article{gao2017sinkage,
  title   = {Sinkage definition and visual detection for planetary rovers wheels on rough terrain based on wheel–soil interaction boundary},
  author  = {Haibo Gao and Fengtian Lv and Baofeng Yuan and Nan Li and Liang Ding and Ningxi Li and Guangjun Liu and Zongquan Deng},
  journal = {Robotics and Autonomous Systems},
  volume  = {98},
  pages   = {222-240},
  year    = {2017},
  issn    = {0921-8890},
  doi     = {https://doi.org/10.1016/j.robot.2017.09.011},
  url     = {https://www.sciencedirect.com/science/article/pii/S0921889016307825}
}

@inproceedings{RASSOR2013,
  title        = {Regolith advanced surface systems operations robot ({RASSOR})},
  author       = {Mueller, Robert P and Cox, Rachel E and Ebert, Tom and Smith, Jonathan D and Schuler, Jason M and Nick, Andrew J},
  booktitle    = {2013 IEEE Aerospace Conference},
  pages        = {1--12},
  year         = {2013},
  organization = {IEEE}
}

@misc{jackal-github2024,
  title        = {GitHub repo, the {Jackal R}obot},
  author       = {Baltovsky, Tony},
  howpublished = {\url{https://github.com/jackal/jackal}},
  year         = {2024}
}

@misc{ghostVision60-github2024,
  title        = {GitHub repo, the {URDF Vision 60 R}obot description},
  author       = {Vasilopoulos, Vasileios},
  howpublished = {\url{https://github.com/KodlabPenn/kodlab_gazebo/tree/master/vision60_description/urdf}},
  year         = {2024}
}

@misc{spotBostonDynamics-github2024,
  title        = {GitHub repo, the {URDF SPOT R}obot description},
  author       = {\relax Boston Dynamics},
  howpublished = {\url{https://github.com/boston-dynamics/spot-sdk}},
  year         = {2024}
}

@misc{racecarMIT2022,
  title        = {The RACECAR Project},
  author       = {\relax RACECAR Team},
  howpublished = {\url{https://racecar.mit.edu}},
  year         = {2022}
}

@misc{jetRacerNVIDIA2022,
  title        = {The Jet Racer Project},
  author       = {\relax NVIDIA},
  howpublished = {\url{https://github.com/NVIDIA-AI-IOT/jetracer}},
  year         = {2022}
}

@misc{catPlatform2022,
  title        = {The Cat Platform},
  author       = {Tse, Jon},
  howpublished = {\url{https://www.jontse.com/portfolio/autonomous\_rc\_car.html}},
  year         = {2022}
}

@misc{karrPlatform2022,
  title        = {The Karr Platform},
  author       = {Dziubiński, Maciek},
  howpublished = {\url{https://tinyurl.com/2p8s35rt}},
  year         = {2019}
}

@misc{donkeyCar2022,
  title        = {The Donkey Car},
  author       = {\relax Donkey Car Community},
  howpublished = {\url{https://docs.donkeycar.com}},
  year         = {2022}
}

@misc{mpadWPI2020,
  title        = {Modular Package for Autonomous Driving (MPAD)},
  author       = {de Azevedo, Enzo Giglio and Jeanlys, Antonio and Mercer, Chris and Mugabo, Julien and Reardon, Eric and Sel, Taylan},
  year         = {2020},
  howpublished = {\url{https://digital.wpi.edu/downloads/pc289n23j}},
  note         = {Worcester Polytechnic Institute},
  accessed     = {Feb 24, 2022}
}

@misc{parvWPI2021,
  title        = {PARV: A 3D Printed Autonomous RoboticVehicle Platform},
  author       = {Czuba, Dexter and Dandekar, Rajkumar and Gordon, Steven and Stultz, Eric},
  year         = {2021},
  howpublished = {\url{https://digital.wpi.edu/pdfviewer/cj82kb092}},
  note         = {Worcester Polytechnic Institute},
  accessed     = {Feb 24, 2022}
}

@misc{smallSelfDrivingRCCar2021,
  title        = {Self Driving RC Car},
  author       = {Sharma, Siddharth and White, Josh},
  year         = {2021},
  howpublished = {\url{https://github.com/sidroopdaska/SelfDrivingRCCar}},
  accessed     = {Feb 24, 2022}
}

@misc{sunFounderPiCar2022,
  title        = {{PiCar}},
  author       = {\relax SunFounder},
  year         = {2021},
  howpublished = {\url{https://tinyurl.com/4sabb5bk}},
  accessed     = {Feb 24, 2022}
}

@misc{ezBlock2022,
  title        = {{EzBlock}},
  author       = {\relax EzBlock Studio},
  year         = {2022},
  howpublished = {\url{https://ezblock.cc/}},
  accessed     = {Feb 24, 2022}
}

@misc{offshootDonkey2021,
  title        = {{Donkey car-based self-driving vehicle}},
  author       = {Orsolic, Ivan},
  year         = {2020},
  howpublished = {\url{https://tinyurl.com/56wb2ue4}},
  accessed     = {Feb 24, 2022}
}

@book{craigIntroRobotics2005,
  title     = {Introduction to robotics: mechanics and control},
  author    = {Craig, John J},
  year      = {2005},
  publisher = {Pearson Educacion}
}


@inproceedings{prakash2021self,
  title     = {Self-Supervised Real-to-Sim Scene Generation},
  author    = {Prakash, Aayush and Debnath, Shoubhik and Lafleche, Jean-Francois and Cameracci, Eric and Birchfield, Stan and Law, Marc T and others},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {16044--16054},
  year      = {2021}
}

@inproceedings{torralba2011unbiased,
  title        = {Unbiased look at dataset bias},
  author       = {Torralba, Antonio and Efros, Alexei A},
  booktitle    = {CVPR 2011},
  pages        = {1521--1528},
  year         = {2011},
  organization = {IEEE}
}

@inproceedings{kar2019meta,
  title     = {Meta-Sim: Learning to Generate Synthetic Datasets},
  author    = {Kar, Amlan and Prakash, Aayush and Liu, Ming-Yu and Cameracci, Eric and Yuan, Justin and Rusiniak, Matt and Acuna, David and Torralba, Antonio and Fidler, Sanja},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages     = {4550--4559},
  year      = {2019},
  address   = {Seoul, South Korea},
  doi       = {10.1109/ICCV.2019.00465}
}

@inproceedings{steinfeld2006common,
  title     = {Common metrics for human-robot interaction},
  author    = {Steinfeld, Aaron and Fong, Terrence and Kaber, David and Lewis, Michael and Scholtz, Jean and Schultz, Alan and Goodrich, Michael},
  booktitle = {Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction},
  pages     = {33--40},
  year      = {2006}
}

@inproceedings{estier2000innovative,
  title     = {An innovative space rover with extended climbing abilities},
  author    = {Estier, Thomas and Crausaz, Y and Merminod, Bertrand and Lauria, Michel and Piguet, Ralph and Siegwart, Roland},
  booktitle = {Robotics 2000},
  pages     = {333--339},
  year      = {2000}
}

@article{morris2004mineralogy,
  title     = {Mineralogy at Gusev crater from the Mossbauer spectrometer on the Spirit rover},
  author    = {Morris, Richard Van and Klingelhofer, G and Bernhardt, Bodo and Schroder, C and Rodionov, Daniel S and de Souza Jr, Paulo A and Yen, A and Gellert, Ralf and Evlanov, EN and Foh, J and others},
  journal   = {Science},
  volume    = {305},
  number    = {5685},
  pages     = {833--836},
  year      = {2004},
  publisher = {American Association for the Advancement of Science}
}

@misc{voosen2018nasa,
  title     = {NASA Curiosity rover hits organic pay dirt on Mars},
  author    = {Voosen, Paul},
  year      = {2018},
  publisher = {American Association for the Advancement of Science}
}

@misc{kerr2009mars,
  title     = {Mars rover trapped in sand, but what can end a mission?},
  author    = {Kerr, Richard A},
  year      = {2009},
  publisher = {American Association for the Advancement of Science}
}

@article{ding2022surface,
  title     = {Surface characteristics of the Zhurong Mars rover traverse at Utopia Planitia},
  author    = {Ding, L and Zhou, R and Yu, T and Gao, H and Yang, H and Li, J and Yuan, Y and Liu, C and Wang, J and Zhao, Y-YS and others},
  journal   = {Nature Geoscience},
  volume    = {15},
  number    = {3},
  pages     = {171--176},
  year      = {2022},
  publisher = {Nature Publishing Group UK London}
}

@article{sort2016,
  title   = {Simple Online Real Time Tracking},
  author  = {Bewley, Alex and Ge, Zongyuan and Ott, Lionel and Ramos, Fabio and Upcrof, Ben},
  journal = {arXiv:1602.00763},
  year    = {2016}
}

@inproceedings{late_early_fusion2021,
  doi       = {10.1109/sp40001.2021.00076},
  url       = {https://doi.org/10.1109%2Fsp40001.2021.00076},
  year      = 2021,
  month     = {may},
  publisher = {{IEEE}
               },
  author    = {Yulong Cao and Ningfei Wang and Chaowei Xiao and Dawei Yang and Jin Fang and Ruigang Yang and Qi Alfred Chen and Mingyan Liu and Bo Li},
  title     = {Invisible for both Camera and {LiDAR}: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks},
  booktitle = {2021 {IEEE} Symposium on Security and Privacy ({SP})}
}

@misc{harryZeroShot2023,
  title         = {Zero-Shot Policy Transferability for the Control of a Scale Autonomous Vehicle},
  author        = {Harry Zhang and Stefan Caldararu and Sriram Ashokkumar and Ishaan Mahajan and Aaron Young and Alexis Ruiz and Huzaifa Unjhawala and Luning Bakke and Dan Negrut},
  year          = {2023},
  eprint        = {2309.09870},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}
@book{logsdon2010,
  author    = {Logsdon, J. M.},
  title     = {Exploring the Unknown: Selected Documents in the History of the U.S. Civil Space Program},
  publisher = {NASA},
  year      = {2010}
}
@article{rieder2004,
  author  = {Rieder, R. and others},
  title   = {The new Athena alpha particle X-ray spectrometer for the Mars Exploration Rovers},
  journal = {Journal of Geophysical Research: Planets},
  year    = {2004},
  volume  = {108},
  number  = {E12}
}

@article{xiangruXu2022,
  title     = {Optimal Control for Kinematic Bicycle Model With Continuous-Time Safety Guarantees: A Sequential Second-Order Cone Programming Approach},
  author    = {Freire, Victor and Xu, Xiangru},
  journal   = {IEEE Robotics and Automation Letters},
  volume    = {7},
  number    = {4},
  pages     = {11681--11688},
  year      = {2022},
  publisher = {IEEE}
}


@article{Zhang2021RLSurveyRobotics,
  author  = {Tengteng Zhang and Hongwei Mo},
  title   = {Reinforcement learning for robot research: A comprehensive review and open issues},
  journal = {International Journal of Advanced Robotic Systems},
  volume  = {18},
  number  = {3},
  pages   = {17298814211007305},
  year    = {2021},
  doi     = {10.1177/17298814211007305},
  url     = { 
             https://doi.org/10.1177/17298814211007305
             },
  eprint  = { 
             https://doi.org/10.1177/17298814211007305
             }
}

@article{akkayaRubik2019,
  title   = {Solving {R}ubik's cube with a robot hand},
  author  = {Akkaya, Ilge and Andrychowicz, Marcin and Chociej, Maciek and Litwin, Mateusz and McGrew, Bob and Petron, Arthur and Paino, Alex and Plappert, Matthias and Powell, Glenn and Ribas, Raphael and others},
  journal = {arXiv preprint arXiv:1910.07113},
  year    = {2019}
}

@article{LeeRLChallengingTerrain2020,
  author  = {Joonho Lee  and Jemin Hwangbo  and Lorenz Wellhausen  and Vladlen Koltun  and Marco Hutter },
  title   = {Learning quadrupedal locomotion over challenging terrain},
  journal = {Science Robotics},
  volume  = {5},
  number  = {47},
  pages   = {eabc5986},
  year    = {2020},
  doi     = {10.1126/scirobotics.abc5986},
  url     = {https://www.science.org/doi/abs/10.1126/scirobotics.abc5986},
  eprint  = {https://www.science.org/doi/pdf/10.1126/scirobotics.abc5986}
}

@misc{towersGymnasium2023,
  title     = {Gymnasium},
  url       = {https://zenodo.org/record/8127025},
  abstract  = {An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)},
  urldate   = {2023-07-08},
  publisher = {Zenodo},
  author    = {Towers, Mark and Terry, Jordan K. and Kwiatkowski, Ariel and Balis, John U. and Cola, Gianluca de and Deleu, Tristan and Goulão, Manuel and Kallinteris, Andreas and KG, Arjun and Krimmel, Markus and Perez-Vicente, Rodrigo and Pierré, Andrea and Schulhoff, Sander and Tai, Jun Jet and Shen, Andrew Tan Jin and Younis, Omar G.},
  month     = mar,
  year      = {2023},
  doi       = {10.5281/zenodo.8127026}
}

@inproceedings{KoenigDesign2004,
  address   = {Sendai, Japan},
  title     = {Design and use paradigms for {Gazebo}, an open-source multi-robot simulator},
  volume    = {3},
  doi       = {10.1109/IROS.2004.1389727},
  booktitle = {{IEEE}/{RSJ} {International} {Conference} on {Intelligent} {Robots} and {Systems} ({IROS})},
  author    = {Koenig, Nathan and Howard, Andrew},
  month     = sep,
  year      = {2004},
  pages     = {2149--2154},
  file      = {Koenig and Howard - 2004 - Design and use paradigms for Gazebo, an open-sourc.pdf:C\:\\Users\\wb619\\Zotero\\storage\\9BX3EDSK\\Koenig and Howard - 2004 - Design and use paradigms for Gazebo, an open-sourc.pdf:application/pdf}
}

@inproceedings{TakayaRosGazebo2016,
  author    = {Takaya, Kenta and Asai, Toshinori and Kroumov, Valeri and Smarandache, Florentin},
  booktitle = {2016 20th International Conference on System Theory, Control and Computing (ICSTCC)},
  title     = {Simulation environment for mobile robots testing using ROS and Gazebo},
  year      = {2016},
  volume    = {},
  number    = {},
  pages     = {96-101},
  doi       = {10.1109/ICSTCC.2016.7790647}
}
  
 @inproceedings{mujoco2012,
  author    = {Todorov, Emanuel and Erez, Tom and Tassa, Yuval},
  booktitle = {2012 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  title     = {{MuJoCo}: A physics engine for model-based control},
  year      = {2012},
  volume    = {},
  number    = {},
  pages     = {5026-5033},
  doi       = {10.1109/IROS.2012.6386109}
}
 
 @misc{Pybullet2023,
  author = {Erwin Coumans and Yunfei Bai},
  title  = {{PyBullet}: A {P}ython module for physics simulation},
  year   = {2023},
  note   = {Available: \url{http://pybullet.org}},
  url    = {http://pybullet.org}
}

@misc{IssacNvidia2023,
  author = {{NVIDIA Corporation}},
  title  = {{Isaac SDK: NVIDIA's Robotics Platform}},
  year   = {2023},
  note   = {Available: \url{https://developer.nvidia.com/isaac-sdk}},
  url    = {https://developer.nvidia.com/isaac-sdk}
}

@article{FfrFlex2023,
  title    = {An efficient, floating-frame-of-reference-based recursive formulation to model planar flexible multibody applications},
  journal  = {Journal of Sound and Vibration},
  volume   = {547},
  pages    = {117542},
  year     = {2023},
  issn     = {0022-460X},
  doi      = {https://doi.org/10.1016/j.jsv.2022.117542},
  url      = {https://www.sciencedirect.com/science/article/pii/S0022460X22007258},
  author   = {Xinxin Yu and Andreas Zwölfer and Aki Mikkola},
  keywords = {Topology method, Spanning tree, Relative coordinates, Velocity transformation matrix, Modal reduction, Reference condition},
  abstract = {This paper describes a floating-frame-of-reference-based (FFRF-based) recursive formulation for flexible bodies. A new definition of the joint coordinate system is introduced that makes it simpler to formulate more concise velocity transformation matrices. A path matrix, which defines the connectivity of the mechanism for the open loop system, simplifies introducing the topology of the rigid and/or flexible spanning tree. The flexible multibody system is often subjected to large reference motion but small deformations. Both Euler–Bernoulli-based beam (EBB) and continuum-mechanics-based beam (CMB) elements are implemented to validate the proposed approach. The reference conditions mentioned here are used to eliminate the rigid body motion from the deformation field, i.e., removal of the coordinate redundancy, in the FFRF. Thus, different reference conditions, such as simply supported, single-cantilever, and double-cantilever are used. Finally, it is demonstrated that the proposed approach is not limited by the choice of reference conditions, which helps the modeler to apply the approach to different multibody applications. In the numerical analysis, the results of the total energy variation and constraint violations of the close loop systems are fulfilled with good accuracy by using both penalty formulation with augmented Lagrangian method and coordinate partitioning approach for constraint stabilization. Furthermore, the proposed semi-recursive method produces dynamic analysis results comparable to the ANCF with better computational efficiency. In the end, compared to fully recursive approach, the proposed semi-recursive approach shows better efficiency and easier implementation.}
}



@article{nowakowski201240,
  title    = {Model Order Reduction in Elastic Multibody Systems using the Floating Frame of Reference Formulation},
  journal  = {IFAC Proceedings Volumes},
  volume   = {45},
  number   = {2},
  pages    = {40-48},
  year     = {2012},
  note     = {7th Vienna International Conference on Mathematical Modelling},
  issn     = {1474-6670},
  doi      = {https://doi.org/10.3182/20120215-3-AT-3016.00007},
  url      = {https://www.sciencedirect.com/science/article/pii/S1474667016306401},
  author   = {Christine Nowakowski and Jörg Fehr and Michael Fischer and Peter Eberhard},
  keywords = {Elastic Multibody Systems, Floating Frame of Reference, Model Order Reduction, Krylov-subspace, Gramian Matrices},
  abstract = {Abstract
              System analysis and optimization of technical products are increasingly supported by virtual prototypes. For the modeling of the dynamical behavior of mechanical subsystems, elastic multibody systems are frequently used. In this contribution, an overview of the basic approaches to model elastic multibody systems with the help of the floating frame of reference formulation is given. It is one of the most common approaches in the field of modeling flexible multibody systems. Here, the discretization of the elastic bodies, e.g. with the help of the Finite Element Method, introduces a large number of elastic degrees of freedom and an efficient simulation of the system becomes difficult. A focus in this work is the linear model order reduction of the elastic degrees of freedom, which is a key step for using flexible bodies in elastic multibody systems. Thereby, the simulation of the elastic multibody system becomes possible or more efficient from a computational point of view. Recently a variety of modern reduction techniques, based on Krylov subspaces or based on a singular value decomposition have been developed and applied successfully in engineering applications. The topic of this work is the application of this techniques in elastic multibody systems with its special requirements, such as, e.g., structure preservation. The differences of these reduction methods are introduced and compared.}
}


@inproceedings{LargilliereRtfea2015,
  author    = {Largilliere, Frederick and Verona, Valerian and Coevoet, Eulalie and Sanz-Lopez, Mario and Dequidt, Jeremie and Duriez, Christian},
  booktitle = {2015 IEEE International Conference on Robotics and Automation (ICRA)},
  title     = {Real-time control of soft-robots using asynchronous finite element modeling},
  year      = {2015},
  volume    = {},
  number    = {},
  pages     = {2550-2555},
  doi       = {10.1109/ICRA.2015.7139541}
}
 
 

@article{KrishnanAirLearning2021,
  author  = {Krishnan, Srivatsan and Boroujerdian, Behzad and Fu, William and Faust, Aleksandra and Janapa Reddi, Vijay},
  year    = {2021},
  month   = {09},
  pages   = {1-40},
  title   = {Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation},
  volume  = {110},
  journal = {Machine Learning},
  doi     = {10.1007/s10994-021-06006-6}
}
 
 % Actuation-Related
@article{Sabanci2020,
  title    = {Artificial intelligence based power consumption estimation of two-phase brushless DC motor according to FEA parametric simulation},
  journal  = {Measurement},
  volume   = {155},
  pages    = {107553},
  year     = {2020},
  issn     = {0263-2241},
  doi      = {https://doi.org/10.1016/j.measurement.2020.107553},
  url      = {https://www.sciencedirect.com/science/article/pii/S0263224120300907},
  author   = {Kadir Sabanci},
  keywords = {Brushless DC motor, Unmanned aerial vehicle, Artificial neural networks, Extreme machine learning, Support vector machine, FEA simulation},
  abstract = {In this study, Artificial Neural Networks, Extreme Machine Learning and Support Vector Machine (SVM) are used to estimate power consumption of Brushless DC motor in Unmanned Aerial Vehicle (UAV). Durafly 3648 Brushless DC motor of UAV is modelled with the Finite Element Analysis software. Then it is simulated with Ansys-Rmxprt according to pulse degree, speed and battery voltage of the UAV. The training times and Mean Absolute Percentage Errors (MAPE) of the Artificial Intelligence Techniques (AITs) are calculated for motor input power estimation. The best result among the implemented AITs is achieved with the MAPE of 0.269% by the SVM model. Then the graphical user interface (GUI) is developed to easily obtain information about how efficient the battery can be used, and the flight time of UAVs. Thanks to the proposed GUI software, the input power of the motor can be estimated via input parameters without the long-time consuming simulations.}
}

@article{DaiDCmotor2005,
  author  = {Min Dai and Keyhani, A. and Sebastian, T.},
  journal = {IEEE Transactions on Energy Conversion},
  title   = {Fault analysis of a PM brushless DC Motor using finite element method},
  year    = {2005},
  volume  = {20},
  number  = {1},
  pages   = {1-6},
  doi     = {10.1109/TEC.2004.841516}
}
  
@article{Karunanidhi2010,
  title    = {Design, analysis and simulation of magnetostrictive actuator and its application to high dynamic servo valve},
  journal  = {Sensors and Actuators A: Physical},
  volume   = {157},
  number   = {2},
  pages    = {185-197},
  year     = {2010},
  issn     = {0924-4247},
  doi      = {https://doi.org/10.1016/j.sna.2009.11.014},
  url      = {https://www.sciencedirect.com/science/article/pii/S0924424709004865},
  author   = {S. Karunanidhi and M. Singaperumal},
  keywords = {Flapper–nozzle servo valve, Magnetostrictive actuator, Permanent magnet bias, Mechatronics},
  abstract = {Flapper–nozzle type Electro Hydraulic Servo Valve (EHSV) operated by conventional torque motor actuators has been used in wide range of industrial applications. As their bandwidths are limited, they are not suitable for high-speed applications. The work presented in this paper deals with the mechatronic approach for the design of a magnetostrictive actuator with flexure amplifier and a magnetically biased magnetostrictive actuator for application in high frequency flapper–nozzle servo valve. A magnetostrictive actuator has been designed, built and integrated into an existing flapper–nozzle servo valve by replacing the torque motor. Incorporating the dynamics of the magnetostrictive actuator, the dynamics of the valve was simulated. Necessary parameters for the actuator have been arrived by finite element model. No load flow characteristics are analyzed and compared with experimental values. Step response has been compared with conventional valve. The results show that the valve has satisfactory static and dynamic characteristics for applications in high-speed actuation systems.}
}


@article{Fazil2011,
  author  = {Fazil, Mohammed and Rajagopal, K. R.},
  journal = {IEEE Transactions on Magnetics},
  title   = {Nonlinear Dynamic Modeling of a Single-Phase Permanent-Magnet Brushless DC Motor Using 2-D Static Finite-Element Results},
  year    = {2011},
  volume  = {47},
  number  = {4},
  pages   = {781-786},
  doi     = {10.1109/TMAG.2010.2103955}
}
  
 
@article{Mengacci2021,
  author  = {Mengacci, Riccardo and Zambella, Grazia and Grioli, Giorgio and Caporale, Danilo and Catalano, Manuel and Bicchi, Antonio},
  year    = {2021},
  month   = {08},
  pages   = {713083},
  title   = {An Open-Source ROS-Gazebo Toolbox for Simulating Robots With Compliant Actuators},
  volume  = {8},
  journal = {Frontiers in Robotics and AI},
  doi     = {10.3389/frobt.2021.713083}
}

@inproceedings{Prasad2012,
  title  = {Modelling and Simulation Analysis of the Brushless DC Motor by using MATLAB},
  author = {G. Prasad and N. Ramya and P. V. N. Prasad and G. Tulasi Ram Das},
  year   = {2012},
  url    = {https://api.semanticscholar.org/CorpusID:212451999}
}
  
@inproceedings{Brezeina2011,
  author    = {Brezina, Tomas and Hadas, Zdenek and Vetiska, Jan},
  booktitle = {14th International Conference Mechatronika},
  title     = {Using of Co-simulation ADAMS-SIMULINK for development of mechatronic systems},
  year      = {2011},
  volume    = {},
  number    = {},
  pages     = {59-64},
  doi       = {10.1109/MECHATRON.2011.5961080}
}

% Hardware-In-The-Loop Related


@inproceedings{BacicHil2006,
  author    = {Bacic, M.},
  booktitle = {Proceedings of the 44th IEEE Conference on Decision and Control},
  title     = {On hardware-in-the-loop simulation},
  year      = {2005},
  volume    = {},
  number    = {},
  pages     = {3194-3198},
  keywords  = {Control system synthesis;Uncertainty;System testing;Stability;Context modeling;Predictive models;Hardware;Control systems;Aerospace simulation;Missiles},
  doi       = {10.1109/CDC.2005.1582653}
}
  
@article{MihalicHil2022,
  author         = {Mihalič, Franc and Truntič, Mitja and Hren, Alenka},
  title          = {Hardware-in-the-Loop Simulations: A Historical Overview of Engineering Challenges},
  journal        = {Electronics},
  volume         = {11},
  year           = {2022},
  number         = {15},
  article-number = {2462},
  url            = {https://www.mdpi.com/2079-9292/11/15/2462},
  issn           = {2079-9292},
  abstract       = {The design of modern industrial products is further improved through the hardware-in-the-loop (HIL) simulation. Realistic simulation is enabled by the closed loop between the hardware under test (HUT) and real-time simulation. Such a system involves a field programmable gate array (FPGA) and digital signal processor (DSP). An HIL model can bypass serious damage to the real object, reduce debugging cost, and, finally, reduce the comprehensive effort during the testing. This paper provides a historical overview of HIL simulations through different engineering challenges, i.e., within automotive, power electronics systems, and different industrial drives. Various platforms, such as National Instruments, dSPACE, Typhoon HIL, or MATLAB Simulink Real-Time toolboxes and Speedgoat hardware systems, offer a powerful tool for efficient and successful investigations in different fields. Therefore, HIL simulation practice must begin already during the university’s education process to prepare the students for professional engagements in the industry, which was also verified experimentally at the end of the paper.},
  doi            = {10.3390/electronics11152462}
}

@inproceedings{SufendiHil2013,
  author    = {Sufendi and Trilaksono, Bambang Riyanto and Nasution, Syahron Hasbi and Purwanto, Eko Budi},
  booktitle = {2013 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering (ICICI-BME)},
  title     = {Design and implementation of hardware-in-the-loop-simulation for uav using pid control method},
  year      = {2013},
  volume    = {},
  number    = {},
  pages     = {124-130},
  doi       = {10.1109/ICICI-BME.2013.6698478}
}
  
@inproceedings{MartinHil2006,
  author    = {Martin, Adrian and Emami, M. Reza},
  booktitle = {2006 International Conference on Mechatronics and Automation},
  title     = {An Architecture for Robotic Hardware-in-the-Loop Simulation},
  year      = {2006},
  volume    = {},
  number    = {},
  pages     = {2162-2167},
  doi       = {10.1109/ICMA.2006.257628}
}
  
@article{OuHil2012,
  title    = {Use of industrial robots for hardware-in-the-loop simulation of satellite rendezvous and docking},
  journal  = {Acta Astronautica},
  volume   = {81},
  number   = {1},
  pages    = {335-347},
  year     = {2012},
  issn     = {0094-5765},
  doi      = {https://doi.org/10.1016/j.actaastro.2012.08.003},
  url      = {https://www.sciencedirect.com/science/article/pii/S0094576512003013},
  author   = {Ou Ma and Angel Flores-Abad and Toralf Boge},
  keywords = {Rendezvous and docking, Contact dynamics, Hardware-in-the-loop simulation, On-orbit servicing, Robotics, Admittance control},
  abstract = {One of the most challenging and risky operations for spacecraft is to perform rendezvous and docking autonomously in space. To ensure a safe and reliable operation, such a mission must be carefully designed and thoroughly verified before a real space mission can be launched. This paper describes the control strategy for achieving high fidelity contact dynamics simulation of a new, robotics-based, hardware-in-the-loop (HIL) rendezvous and docking simulation facility that uses two industrial robots to physically simulate the 6-DOF dynamic maneuvering of two docking satellites. The facility is capable of physically simulating the final approaching within a 25-meter range and the entire docking/capturing process for a satellite on-orbit servicing mission. The key difficulties of using industrial robots for high-fidelity HIL contact dynamics simulation were found and different solution techniques were investigated in the presented project. An admittance control method was proposed to achieve the goal of making the robots in the HIL simulation process match the impedance of the two docking satellites. Simulation study showed the effectiveness and performance of the proposed solution method.}
}

@misc{openaiDexterity2019,
  title         = {Learning Dexterous In-Hand Manipulation},
  author        = {OpenAI and Marcin Andrychowicz and Bowen Baker and Maciek Chociej and Rafal Jozefowicz and Bob McGrew and Jakub Pachocki and Arthur Petron and Matthias Plappert and Glenn Powell and Alex Ray and Jonas Schneider and Szymon Sidor and Josh Tobin and Peter Welinder and Lilian Weng and Wojciech Zaremba},
  year          = {2019},
  eprint        = {1808.00177},
  archiveprefix = {arXiv},
  primaryclass  = {cs.LG}
}

@misc{makoviychukIsaac2021,
  title         = {Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning},
  author        = {Viktor Makoviychuk and Lukasz Wawrzyniak and Yunrong Guo and Michelle Lu and Kier Storey and Miles Macklin and David Hoeller and Nikita Rudin and Arthur Allshire and Ankur Handa and Gavriel State},
  year          = {2021},
  eprint        = {2108.10470},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@misc{wuTransferLearning2023,
  title         = {Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly},
  author        = {Chengzhi Wu and Xuelei Bi and Julius Pfrommer and Alexander Cebulla and Simon Mangold and Jürgen Beyerer},
  year          = {2023},
  eprint        = {2301.05033},
  archiveprefix = {arXiv},
  primaryclass  = {cs.CV}
}

@misc{liRL2024,
  title         = {Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control},
  author        = {Zhongyu Li and Xue Bin Peng and Pieter Abbeel and Sergey Levine and Glen Berseth and Koushil Sreenath},
  year          = {2024},
  eprint        = {2401.16889},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}


@article{Leguizamo2022193,
  title    = {Deep Reinforcement Learning for Robotic Control with Multi-Fidelity Models},
  journal  = {IFAC-PapersOnLine},
  volume   = {55},
  number   = {37},
  pages    = {193-198},
  year     = {2022},
  note     = {2nd Modeling, Estimation and Control Conference MECC 2022},
  issn     = {2405-8963},
  doi      = {https://doi.org/10.1016/j.ifacol.2022.11.183},
  url      = {https://www.sciencedirect.com/science/article/pii/S2405896322028269},
  author   = {David Felipe Leguizamo and Hsin-Jung Yang and Xian Yeow Lee and Soumik Sarkar},
  keywords = {Robotic Systems, Self-learning Models, Real-time Artificial Intelligence, Reinforcement learning control, Engineering Applications of Artificial Intelligence, Optimization and Control, Multi-Fidelity Modeling}
}

@article{wen2021,
  title    = {A multi-robot path-planning algorithm for autonomous navigation using meta-reinforcement learning based on transfer learning},
  journal  = {Applied Soft Computing},
  volume   = {110},
  pages    = {107605},
  year     = {2021},
  issn     = {1568-4946},
  doi      = {https://doi.org/10.1016/j.asoc.2021.107605},
  url      = {https://www.sciencedirect.com/science/article/pii/S1568494621005263},
  author   = {Shuhuan Wen and Zeteng Wen and Di Zhang and Hong Zhang and Tao Wang},
  keywords = {Multi-robot system, Path planning, Deep reinforcement learning, Meta learning, Transfer learning}
}

@misc{nachum2019,
  title         = {Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real},
  author        = {Ofir Nachum and Michael Ahn and Hugo Ponte and Shixiang Gu and Vikash Kumar},
  year          = {2019},
  eprint        = {1908.05224},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@article{dallas2020,
  title    = {Online terrain estimation for autonomous vehicles on deformable terrains},
  journal  = {Journal of Terramechanics},
  volume   = {91},
  pages    = {11-22},
  year     = {2020},
  issn     = {0022-4898},
  doi      = {https://doi.org/10.1016/j.jterra.2020.03.001},
  url      = {https://www.sciencedirect.com/science/article/pii/S0022489820300185},
  author   = {James Dallas and Kshitij Jain and Zheng Dong and Leonid Sapronov and Michael P. Cole and Paramsothy Jayakumar and Tulga Ersal},
  keywords = {Terramechanics, Parameter estimation, Wheeled vehicles, Deformable terrain, Control, Kalman filter}
}

@misc{chen2022realtime,
  title         = {Real-time Model Predictive Control and System Identification Using Differentiable Physics Simulation},
  author        = {Sirui Chen and Keenon Werling and Albert Wu and C. Karen Liu},
  year          = {2022},
  eprint        = {2202.09834},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% NETWORK SIM RELATED  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{tracer2013cisco,
  title   = {Cisco Packet Tracer},
  author  = {Tracer, Cisco Packet},
  journal = {URL: http://www. cisco. com/web/learning/netacad/coursecatalog/PacketTracer. html},
  year    = {2013}
}

@inproceedings{emiliano2015,
  author    = {Emiliano, Rodrigo and Antunes, Mário},
  booktitle = {2015 10th International Conference on Computer Science & Education (ICCSE)},
  title     = {Automatic network configuration in virtualized environment using GNS3},
  year      = {2015},
  volume    = {},
  number    = {},
  pages     = {25-30},
  keywords  = {Routing protocols;Network topology;IP networks;Topology;Computer science;Operating systems;Generators;Automatic configuration;GNS3;virtualization;Cisco IOS;virtual lab classroom},
  doi       = {10.1109/ICCSE.2015.7250212}
}
  
@book{neumann2015book,
  title     = {The Book of GNS3: Build Virtual Network Labs Using Cisco, Juniper, and More},
  author    = {Neumann, J.C.},
  isbn      = {9781593276959},
  lccn      = {2014040973},
  url       = {https://books.google.com/books?id=9wcvDwAAQBAJ},
  year      = {2015},
  publisher = {No Starch Press}
}

@article{wang2022,
  author   = {Wang, Yongchao and Leibold, Marion and Lee, Jinoh and Ye, Wenyan and Xie, Jing and Buss, Martin},
  journal  = {IEEE Transactions on Control Systems Technology},
  title    = {Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator},
  year     = {2022},
  volume   = {30},
  number   = {6},
  pages    = {2285-2300},
  keywords = {Mathematical models;Robots;Uncertainty;Robustness;Predictive control;Manipulators;Incremental system;input-to-state stability (ISS);model predictive control (MPC);time-delay estimation (TDE)},
  doi      = {10.1109/TCST.2022.3142629}
}
  
@article{taefi2024,
  author   = {Taefi, Mohammad and Khosravi, Mohammad A.},
  title    = {A model free adaptive-robust design for control of robot manipulators: Time delay estimation approach},
  journal  = {International Journal of Robust and Nonlinear Control},
  volume   = {n/a},
  number   = {n/a},
  pages    = {},
  year     = {2024},
  keywords = {adaptive backstepping nonsingular terminal sliding mode control, adaptive-robust control, robot manipulators, time-delay estimation},
  doi      = {https://doi.org/10.1002/rnc.7379},
  url      = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.7379},
  eprint   = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.7379},
  abstract = {Summary This paper addresses a new robust control scheme for tracking control of the robot manipulators. This algorithm employs time delay estimation (TDE) technique in combination with backstepping control strategy. The suggested control scheme has no dependency on the robot dynamic model and knowing the bound of the inertia matrix is enough to develop this controller. To develop the idea, at first the boundedness of the TDE errors is analyzed by Lyapunov-Krasovskii approach. Next, the proposed TDE based adaptive backstepping nonsingular terminal sliding mode control (ABNTSMC) algorithm is developed. In this way, a novel adaptive-robust term is employed to defeat the chattering phenomenon. Moreover, the closed-loop stability of the system is proven through Lyapunov second approach. Fast transient response, supreme robustness, and chattering-free as the premier specifications are gained employing the proposed control algorithm. The efficiency of the suggested control scheme is illustrated through some simulations on an industrial robot and the results are compared with some other control algorithms. Finally, the practical effectiveness of the proposed TDE based control algorithm is verified through some experiments on a parallelogram robot manipulator.}
}

  
@article{musicant2023,
  title    = {Effects of simulated time delay on teleoperators’ performance in inter-urban conditions},
  journal  = {Transportation Research Part F: Traffic Psychology and Behaviour},
  volume   = {92},
  pages    = {220-237},
  year     = {2023},
  issn     = {1369-8478},
  doi      = {https://doi.org/10.1016/j.trf.2022.11.007},
  url      = {https://www.sciencedirect.com/science/article/pii/S1369847822002753},
  author   = {Oren Musicant and Assaf Botzer and Shraga Shoval},
  keywords = {Teleoperation, Time delay, Driver performance}
}

@article{sheridan1993,
  author   = {Sheridan, T.B.},
  journal  = {IEEE Transactions on Robotics and Automation},
  title    = {Space teleoperation through time delay: review and prognosis},
  year     = {1993},
  volume   = {9},
  number   = {5},
  pages    = {592-606},
  keywords = {Delay effects;Humans;Displays;Supervisory control;Impedance;History;Automatic control;Automation;Propagation delay;Costs},
  doi      = {10.1109/70.258052}
}
  
@inproceedings{bemporad1998,
  author    = {Bemporad, A.},
  booktitle = {Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171)},
  title     = {Predictive control of teleoperated constrained systems with unbounded communication delays},
  year      = {1998},
  volume    = {2},
  number    = {},
  pages     = {2133-2138 vol.2},
  keywords  = {Predictive control;Delay;Communication system control;TCPIP;Predictive models;Control systems;Internet;Communication channels;Protocols;Humans},
  doi       = {10.1109/CDC.1998.758651}
}
  
@article{zheng2020,
  author   = {Zheng, Yingshi and Brudnak, Mark J. and Jayakumar, Paramsothy and Stein, Jeffrey L. and Ersal, Tulga},
  journal  = {IEEE Transactions on Human-Machine Systems},
  title    = {Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs},
  year     = {2020},
  volume   = {50},
  number   = {6},
  pages    = {561-572},
  keywords = {Human in the loop;Predictive models;Land vehicles;Unmanned vehicles;Simulation;Military vehicles;Delay compensation;human-in-the-loop experiment;predictor-based framework;teleoperation;unmanned ground vehicles (UGVs)},
  doi      = {10.1109/THMS.2020.3018684}
}
  
  
@inproceedings{ikeda2011,
  author    = {Ikeda, Makoto and Kulla, Elis and Barolli, Leonard and Takizawa, Makoto},
  booktitle = {2011 International Conference on Complex, Intelligent, and Software Intensive Systems},
  title     = {Wireless Ad-hoc Networks Performance Evaluation Using NS-2 and NS-3 Network Simulators},
  year      = {2011},
  volume    = {},
  number    = {},
  pages     = {40-45},
  keywords  = {Ad hoc networks;Throughput;Object oriented modeling;Wireless communication;Routing protocols;Topology;Ad-hoc networks;ns-3;ns-2;throughput},
  doi       = {10.1109/CISIS.2011.16}
}
  
@inproceedings{sharma2017,
  author    = {Sharma, Himanshu and Rajesh, M},
  booktitle = {2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)},
  title     = {Design and simulation of WSN for ZigBee based communication in multi-robot system},
  year      = {2017},
  volume    = {},
  number    = {},
  pages     = {1353-1355},
  keywords  = {ZigBee;Wireless communication;Routing protocols;Robots;Ad hoc networks;Analytical models;Zigbee;Wireless Sensor Network;IEEE 802.15.4;NS2;AODV},
  doi       = {10.1109/ICECDS.2017.8389664}
}
  
  
@article{jourdan2024,
  title   = {Case Study: Free Space Path Loss for Mobile Network and WLAN},
  volume  = {1},
  url     = {https://ejournal.unimap.edu.my/index.php/aset/article/view/13},
  doi     = {10.58915/aset.v1i2.13},
  number  = {2},
  journal = {Advanced and Sustainable Technologies (ASET)},
  author  = {Jourdan, Yong Min Chiun and Y.S, Lee},
  year    = {2024},
  month   = {May}
}


@article{elkhaled2022,
  author   = {El Khaled, Zayan and Ajib, Wessam and Mcheick, Hamid},
  journal  = {IEEE Access},
  title    = {Log Distance Path Loss Model: Application and Improvement for Sub 5 GHz Rural Fixed Wireless Networks},
  year     = {2022},
  volume   = {10},
  number   = {},
  pages    = {52020-52029},
  keywords = {Data models;Wireless networks;Wireless communication;Radio links;Computational modeling;Vegetation;Shadow mapping;Radio signal propagation;propagation empirical models;path loss;seasonal effects;log distance model},
  doi      = {10.1109/ACCESS.2022.3166895}
}
  
@techreport{itumodelweb,
  author      = {{International Telecommunication Union - Radiocommunication Sector}},
  title       = {Recommendation ITU-R P.1238: Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 450 GHz},
  year        = {Year of Latest Revision},
  institution = {International Telecommunication Union},
  url         = {https://www.itu.int/rec/R-REC-P.1238/en}
}

@inproceedings{dust-NASA2023,
  title        = {Digital lunar exploration sites unreal simulation tool (dust)},
  author       = {Bingham, Lee and Kincaid, Jack and Weno, Benjamin and Davis, Nicholas and Paddock, Eddie and Foreman, Cory},
  booktitle    = {2023 IEEE Aerospace Conference},
  pages        = {1--12},
  year         = {2023},
  organization = {IEEE}
}

@inproceedings{allan2019,
  author    = {Allan, Mark and Wong, Uland and Furlong, P. Michael and Rogg, Arno and McMichael, Scott and Welsh, Terry and Chen, Ian and Peters, Steven and Gerkey, Brian and Quigley, Moraan and Shirley, Mark and Deans, Matthew and Cannon, Howard and Fong, Terry},
  booktitle = {2019 IEEE Aerospace Conference},
  title     = {Planetary Rover Simulation for Lunar Exploration Missions},
  year      = {2019},
  address   = {Big Sky, Montana, USA},
  volume    = {},
  number    = {},
  pages     = {1-19},
  keywords  = {Moon;NASA;Robots;Space vehicles;Software;Roads;Visualization},
  doi       = {10.1109/AERO.2019.8741780}
}
  
@inbook{mueller2022,
  author    = {Robert P. Mueller },
  title     = {Lunar Base Construction Planning},
  booktitle = {Earth and Space 2022},
  year      = {2022},
  publisher = {NASA Technical Report},
  chapter   = {},
  pages     = {858-870},
  doi       = {10.1061/9780784484470.072},
  url       = {https://ascelibrary.org/doi/abs/10.1061/9780784484470.072},
  eprint    = {https://ascelibrary.org/doi/pdf/10.1061/9780784484470.072}
}

@misc{zhou2021,
  title         = {Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization},
  author        = {Jinyun Zhou and Rui Wang and Xu Liu and Yifei Jiang and Shu Jiang and Jiaming Tao and Jinghao Miao and Shiyu Song},
  year          = {2021},
  eprint        = {2103.01882},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@article{pan2020,
  author  = {Yunpeng Pan and Ching-An Cheng and Kamil Saigol and Keuntaek Lee and Xinyan Yan and Evangelos A Theodorou and Byron Boots},
  title   = {Imitation learning for agile autonomous driving},
  journal = {The International Journal of Robotics Research},
  volume  = {39},
  number  = {2-3},
  pages   = {286-302},
  year    = {2020},
  doi     = {10.1177/0278364919880273},
  url     = {https://doi.org/10.1177/0278364919880273},
  eprint  = {https://doi.org/10.1177/0278364919880273}
}

@inproceedings{chen2019,
  author    = {Chen, Jianyu and Yuan, Bodi and Tomizuka, Masayoshi},
  booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title     = {Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety},
  year      = {2019},
  volume    = {},
  number    = {},
  pages     = {2884-2890},
  keywords  = {},
  doi       = {10.1109/IROS40897.2019.8968225}
}

@article{teng2023,
  author   = {Teng, Siyu and Chen, Long and Ai, Yunfeng and Zhou, Yuanye and Xuanyuan, Zhe and Hu, Xuemin},
  journal  = {IEEE Transactions on Intelligent Vehicles},
  title    = {Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving},
  year     = {2023},
  volume   = {8},
  number   = {1},
  pages    = {673-683},
  keywords = {Semantics;Data models;Autonomous vehicles;Cameras;Reinforcement learning;Predictive models;Robustness;Autonomous driving;imitation learning;motion planning;end-to-End driving;interpretability},
  doi      = {10.1109/TIV.2022.3225340}
}
  
@misc{lee2023,
  title         = {CoVOR-SLAM: Cooperative SLAM using Visual Odometry and Ranges for Multi-Robot Systems},
  author        = {Young-Hee Lee and Chen Zhu and Thomas Wiedemann and Emanuel Staudinger and Siwei Zhang and Christoph Günther},
  year          = {2023},
  eprint        = {2311.12580},
  archiveprefix = {arXiv},
  primaryclass  = {cs.RO}
}

@inproceedings{feng2022bayesian,
  title     = {Bayesian Active Learning for Sim-to-Real Robotic Perception},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  author    = {Feng, Jianxiang and Lee, Jongseok and Durner, Maximilian and Triebel, Rudolph},
  year      = {2022},
  address   = {Kyoto, Japan},
  pages     = {10820--10827},
  doi       = {10.1109/IROS47612.2022.9982175}
}

@inproceedings{jeong2020self-supervised,
  title     = {Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  author    = {Jeong, Rae and Aytar, Yusuf and Khosid, David and Zhou, Yuxiang and Kay, Jackie and Lampe, Thomas and Bousmalis, Konstantinos and Nori, Francesco},
  year      = {2020},
  address   = {Paris, France},
  pages     = {2718--2724},
  doi       = {10.1109/ICRA40945.2020.9197326}
}

@inproceedings{li2021igibson,
  address   = {London, UK},
  title     = {iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks},
  volume    = {164},
  booktitle = {Conference on Robot Learning (CoRL)},
  author    = {Li, Chengshu and Xia, Fei and Martín-Martín, Roberto and Lingelbach, Michael and Srivastava, Sanjana and Shen, Bokui and Vainio, Kent Elliott and Gokmen, Cem and Dharan, Gokul and Jain, Tanish and Kurenkov, Andrey and Liu, Karen and Gweon, Hyowon and Wu, Jiajun and Fei-Fei, Li and Savarese, Silvio},
  month     = nov,
  year      = {2021},
  pages     = {455--465}
}

@inproceedings{sewtz2022ursim,
  address   = {Big Sky, Montana, USA},
  title     = {{URSim} - A Versatile Robot Simulator for Extra-Terrestrial Exploration},
  doi       = {10.1109/AERO53065.2022.9843576},
  booktitle = {IEEE Aerospace Conference (AERO)},
  author    = {Sewtz, Marco and Lehner, Hannah and Fanger, Yunis and Eberle, Jan and Wudenka, Martin and Müller, Marcus G. and Bodenmüller, Tim and Schuster, Martin J.},
  year      = {2022},
  pages     = {1--14}
}

@article{castilla-arquillo2022hardware-accelerated,
  title   = {Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning From Photorealistic Simulations},
  volume  = {7},
  doi     = {10.1109/LRA.2022.3219306},
  number  = {4},
  journal = {IEEE Robotics and Automation Letters},
  author  = {Castilla-Arquillo, Raul and Pérez-del-Pulgar, Carlos and Paz-Delgado, Gonzalo Jesus and Gerdes, Levin},
  year    = {2022},
  pages   = {12555--12561}
}

@inproceedings{lemaignan2014simulation,
  address   = {Bergamo, Italy},
  title     = {Simulation and HRI Recent Perspectives with the MORSE Simulator},
  doi       = {10.1007/978-3-319-11900-7_2},
  booktitle = {International Conference on Simulation, Modeling, and Programming for Autonomous Robots},
  author    = {Lemaignan, Séverin and Hanheide, Marc and Karg, Michael and Khambhaita, Harmish and Kunze, Lars and Lier, Florian and Lütkebohle, Ingo and Milliez, Grégoire},
  mon       = oct,
  year      = {2014},
  pages     = {13--24}
}

@inproceedings{lewis2003developing,
  address   = {Crete, Greece},
  title     = {Developing a Testbed for Studying Human-Robot Interaction in Urban Search and Rescue},
  author    = {Lewis, Michael and Sycara, Katia P. and Nourbakhsh, Illah Reza},
  booktitle = {Proceedings of International Conference on Human-Computer Interaction (HCI)},
  year      = {2003},
  month     = jun,
  pages     = {22--27}
}

@inproceedings{lewis2011network-centric,
  address   = {Kauai, HI, USA},
  title     = {Network-Centric Control for Multirobot Teams in Urban Search and Rescue},
  doi       = {10.1109/HICSS.2011.315},
  booktitle = {2011 44th Hawaii International Conference on System Sciences},
  author    = {Lewis, Michael and Sycara, Katia},
  year      = {2011},
  month     = jan,
  pages     = {1--10}
}

@inproceedings{szot2021habitat,
  title     = {{Habitat 2.0: Training Home Assistants to Rearrange their Habitat}},
  volume    = {34},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  author    = {Szot, Andrew and Clegg, Alexander and Undersander, Eric and Wijmans, Erik and Zhao, Yili and Turner, John and Maestre, Noah and Mukadam, Mustafa and Chaplot, Devendra Singh and Maksymets, Oleksandr and Gokaslan, Aaron and Vondruš, Vladimír and Dharur, Sameer and Meier, Franziska and Galuba, Wojciech and Chang, Angel and Kira, Zsolt and Koltun, Vladlen and Malik, Jitendra and Savva, Manolis and Batra, Dhruv},
  month     = dec,
  year      = {2021},
  pages     = {251--266}
}

@inproceedings{shen2021igibson,
  address   = {Prague, Czech Republic},
  title     = {iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes},
  doi       = {10.1109/IROS51168.2021.9636667},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  author    = {Shen, Bokui and Xia, Fei and Li, Chengshu and Martín-Martín, Roberto and Fan, Linxi and Wang, Guanzhi and Pérez-D’Arpino, Claudia and Buch, Shyamal and Srivastava, Sanjana and Tchapmi, Lyne and Tchapmi, Micael and Vainio, Kent and Wong, Josiah and Fei-Fei, Li and Savarese, Silvio},
  month     = sep,
  year      = {2021},
  pages     = {7520--7527}
}

@article{kelly2011real-time,
  title   = {Real-Time Photorealistic Virtualized Reality Interface for Remote Mobile Robot Control},
  volume  = {30},
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  journal = {The International Journal of Robotics Research},
  author  = {Kelly, Alonzo and Chan, Nicholas and Herman, Herman and Huber, Daniel and Meyers, Robert and Rander, Pete and Warner, Randy and Ziglar, Jason and Capstick, Erin},
  year    = {2011},
  pages   = {384--404}
}

@inproceedings{hu2015on-line,
  address   = {Seattle, WA, USA},
  title     = {On-Line Reconstruction Based Predictive Display in Unknown Environment},
  doi       = {10.1109/ICRA.2015.7139814},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  author    = {Hu, Huan and Quintero, Camilo Perez and Sun, Hanxu and Jagersand, Martin},
  month     = may,
  year      = {2015},
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}

@inproceedings{xie2021generative,
  address   = {Xi'an, China},
  title     = {A Generative Model-Based Predictive Display for Robotic Teleoperation},
  doi       = {10.1109/ICRA48506.2021.9561787},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  author    = {Xie, Bowen and Han, Mingjie and Jin, Jun and Barczyk, Martin and Jägersand, Martin},
  month     = may,
  year      = {2021},
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@inproceedings{chen2019feedback,
  address   = {Hong Kong, China},
  title     = {A Feedback Force Controller Fusing Traditional Control and Reinforcement Learning Strategies},
  doi       = {10.1109/AIM.2019.8868711},
  booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
  author    = {Chen, Bo-Hsun and Wang, Yu-Hsun and Lin, Pei-Chun},
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  year      = {2019},
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}

@article{yang2022dual-arm,
  title   = {A Dual-Arm Manipulation Strategy Using Position/Force Errors and Kalman Filter},
  volume  = {44},
  doi     = {10.1177/01423312211018681},
  number  = {4},
  journal = {Transactions of the Institute of Measurement and Control},
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  year    = {2022},
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}

@inproceedings{muller2021photorealistic,
  address   = {Prague, Czech Republic},
  title     = {A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments},
  doi       = {10.1109/IROS51168.2021.9636644},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  author    = {Müller, M. G. and Durner, M. and Gawel, A. and Stürzl, W. and Triebel, R. and Siegwart, R.},
  month     = sep,
  year      = {2021},
  pages     = {9765--9772}
}

@inproceedings{vayugundla2018datasets,
  title     = {Datasets of Long Range Navigation Experiments in a Moon Analogue Environment on {Mount Etna}},
  booktitle = {International Symposium on Robotics (ISR)},
  author    = {Vayugundla, Mallikarjuna and Steidle, Florian and Smisek, Michal and Schuster, Martin J. and Bussmann, Kristin and Wedler, Armin},
  month     = jun,
  year      = {2018},
  pages     = {77--83},
  address   = {Munich, Germany}
}

@article{meyer2021madmax,
  title   = {{The MADMAX Data Set for Visual-Inertial Rover Navigation on Mars}},
  volume  = {38},
  doi     = {10.1002/rob.22016},
  number  = {6},
  journal = {Journal of Field Robotics},
  author  = {Meyer, Lukas and Smíšek, Michal and Fontan Villacampa, Alejandro and Oliva Maza, Laura and Medina, Daniel and Schuster, Martin J. and Steidle, Florian and Vayugundla, Mallikarjuna and Müller, Marcus G. and Rebele, Bernhard and Wedler, Armin and Triebel, Rudolph},
  year    = {2021},
  pages   = {833--853}
}

@article{zhang2019adversarial,
  title     = {Adversarial discriminative sim-to-real transfer of visuo-motor policies},
  author    = {Zhang, Fangyi and Leitner, J{\"u}rgen and Ge, Zongyuan and Milford, Michael and Corke, Peter},
  journal   = {The International Journal of Robotics Research},
  volume    = {38},
  number    = {10-11},
  pages     = {1229--1245},
  year      = {2019},
  publisher = {SAGE Publications Sage UK: London, England}
}

@inproceedings{li2023behavior-1k,
  title     = {{BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation}},
  volume    = {205},
  booktitle = {Proceedings of Conference on Robot Learning (CoRL)},
  address   = {Atlanta, GA, USA},
  publisher = {PMLR},
  author    = {Li, Chengshu and Zhang, Ruohan and Wong, Josiah and Gokmen, Cem and Srivastava, Sanjana and Martín-Martín, Roberto and Wang, Chen and Levine, Gabrael and Lingelbach, Michael and Sun, Jiankai and Anvari, Mona and Hwang, Minjune and Sharma, Manasi and Aydin, Arman and Bansal, Dhruva and Hunter, Samuel and Kim, Kyu-Young and Lou, Alan and Matthews, Caleb R and Villa-Renteria, Ivan and Tang, Jerry Huayang and Tang, Claire and Xia, Fei and Savarese, Silvio and Gweon, Hyowon and Liu, Karen and Wu, Jiajun and Fei-Fei, Li},
  month     = nov,
  year      = {2023},
  pages     = {80--93}
}

@article{batagoda2024physics-based,
  title   = {A physics-based sensor simulation environment for lunar ground operations},
  author  = {Batagoda, Nevindu M. and Chen, Bo-Hsun and Zhang, Harry and Serban, Radu and Negrut, Dan},
  journal = {arXiv preprint arXiv:2410.04371},
  year    = {2024}
}

@article{ji2024on-site,
  title   = {On-site human-robot collaboration for lunar exploration based on shared mixed reality},
  volume  = {83},
  doi     = {10.1007/s11042-023-16178-z},
  journal = {Multimedia Tools and Applications},
  author  = {Ji, Hechao and Li, Shiqi and Chen, Jie and Zhou, Shuxiang},
  year    = {2024},
  pages   = {18235--18260}
}

@article{abou-chakra2025real-is-sim,
  title   = {{Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation}},
  author  = {Jad Abou-Chakra and Lingfeng Sun and Krishan Rana and Brandon May and Karl Schmeckpeper and Maria Vittoria Minniti and Laura Herlant},
  year    = {2025},
  month   = apr,
  journal = {arXiv preprint arXiv:2504.03597},
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