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Wheeled robots have recently demonstrated superior mechanical capability to traverse vertically challenging terrain (e.g., extremely rugged boulders comparable in size to the vehicles themselves).
D. A. Pomerleau, “Alvinn: An autonomous land vehicle in a neural network,” in Advances in neural information processing systems , 1989, pp. 305–313
1989
Earlier work this paper cites.
S. Quinlan and O. Khatib, “Elastic bands: Connecting path planning and control,” in [1993] Proceedings IEEE International Conference on Robotics and Automation . IEEE, 1993, pp. 802–807
1993
Earlier work this paper cites.
D. Fox, W. Burgard, and S. Thrun, “The dynamic window approach to collision avoidance,” IEEE Robotics & Automation Magazine , vol. 4, no. 1, pp. 23–33, 1997
1997
Earlier work this paper cites.
S. LaValle, “Planning algorithms,” Cambridge University Press google schola , vol. 2, pp. 3671–3678, 2006
2006
Earlier work this paper cites.
G. Seetharaman, A. Lakhotia, and E. P. Blasch, “Unmanned vehicles come of age: The darpa grand challenge,” Computer , vol. 39, no. 12, pp. 26–29, 2006
2006
Earlier work this paper cites.
L. D. Jackel, E. Krotkov, M. Perschbacher, J. Pippine, and C. Sullivan, “The darpa lagr program: Goals, challenges, methodology, and phase i results,” Journal of Field robotics , vol. 23, no. 11-12, pp. 945–973, 2006
2006
Earlier work this paper cites.
M. Pivtoraiko, R. A. Knepper, and A. Kelly, “Differentially constrained mobile robot motion planning in state lattices,” Journal of Field Robotics , vol. 26, no. 3, pp. 308–333, 2009
2009
Earlier work this paper cites.
M. D. Kutzer, M. S. Moses, C. Y. Brown, M. Armand, D. H. Scheidt, and G. S. Chirikjian, “Design of a new independently-mobile reconfigurable modular robot,” in 2010 IEEE International Conference on Robotics and Automation . IEEE, 2010, pp. 2758–2764
2010
Earlier work this paper cites.
D. S. Wettergreen and D. R. Thompson, “Science on the fly: Enabling science autonomy during robotic traverse,” in 2010 IEEE International Conference on Robotics and Automation . IEEE, 2010, pp. 1110–1111
2010
Earlier work this paper cites.
F. Rogers-Marcovitz, M. George, N. Seegmiller, and A. Kelly, “Aiding off-road inertial navigation with high performance models of wheel slip,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2012, pp. 215–222
2012
Earlier work this paper cites.
F. Cordes, C. Oekermann, A. Babu, D. Kuehn, T. Stark, F. Kirchner, and D. Bremen, “An active suspension system for a planetary rover,” in Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) , 2014, pp. 17–19
2014
Earlier work this paper cites.
R. R. Murphy, Disaster robotics . MIT press, 2014
2014
Earlier work this paper cites.
S. K. Malu and J. Majumdar, “Kinematics, localization and control of differential drive mobile robot,” Global Journals of Research in Engineering , vol. 14, no. H1, pp. 1–7, 2014
2014
Earlier work this paper cites.
G. Williams, P. Drews, B. Goldfain, J. M. Rehg, and E. A. Theodorou, “Aggressive driving with model predictive path integral control,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2016, pp. 1433–1440
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
M. Pfeiffer, M. Schaeuble, J. Nieto, R. Siegwart, and C. Cadena, “From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots,” in IEEE International Conference on Robotics and Automation . IEEE, 2017
2017
Earlier work this paper cites.
Y. F. Chen, M. Everett, M. Liu, and J. P. How, “Socially aware motion planning with deep reinforcement learning,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 1343–1350
2017
Earlier work this paper cites.
G. Williams, A. Aldrich, and E. A. Theodorou, “Model predictive path integral control: From theory to parallel computation,” Journal of Guidance, Control, and Dynamics , vol. 40, no. 2, pp. 344–357, 2017
2017
Earlier work this paper cites.
D. Maturana, P.-W. Chou, M. Uenoyama, and S. Scherer, “Real-time semantic mapping for autonomous off-road navigation,” in Field and Service Robotics . Springer, 2018, pp. 335–350
2018
Earlier work this paper cites.
A. Faust, K. Oslund, O. Ramirez, A. Francis, L. Tapia, M. Fiser, and J. Davidson, “Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 5113–5120
2018
Earlier work this paper cites.
H. Jiang, G. Xu, W. Zeng, F. Gao, and K. Chong, “Lateral stability of a mobile robot utilizing an active adjustable suspension,” Applied Sciences , vol. 9, no. 20, p. 4410, 2019
2019
Earlier work this paper cites.
S. Rabiee and J. Biswas, “A friction-based kinematic model for skid-steer wheeled mobile robots,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 8563–8569
2019
Earlier work this paper cites.
V. S. Medeiros, E. Jelavic, M. Bjelonic, R. Siegwart, M. A. Meggiolaro, and M. Hutter, “Trajectory optimization for wheeled-legged quadrupedal robots driving in challenging terrain,” IEEE Robotics and Automation Letters , vol. 5, no. 3, pp. 4172–4179, 2020
2020
Earlier work this paper cites.
D. Perille, A. Truong, X. Xiao, and P. Stone, “Benchmarking metric ground navigation,” in 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) . IEEE, 2020, pp. 116–121
2020
Earlier work this paper cites.
Y. Pan, C.-A. Cheng, K. Saigol, K. Lee, X. Yan, E. A. Theodorou, and B. Boots, “Imitation learning for agile autonomous driving,” The International Journal of Robotics Research , vol. 39, no. 2-3, pp. 286–302, 2020
2020
Earlier work this paper cites.
X. Xiao, B. Liu, G. Warnell, J. Fink, and P. Stone, “Appld: Adaptive planner parameter learning from demonstration,” IEEE Robotics and Automation Letters , vol. 5, no. 3, pp. 4541–4547, 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
J. Hart, R. Mirsky, X. Xiao, S. Tejeda, B. Mahajan, J. Goo, K. Baldauf, S. Owen, and P. Stone, “Using human-inspired signals to disambiguate navigational intentions,” in International Conference on Social Robotics . Springer, 2020, pp. 320–331
2020
Cited alongside, same era.
K. Viswanath, K. Singh, P. Jiang, P. Sujit, and S. Saripalli, “Offseg: A semantic segmentation framework for off-road driving,” in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) . IEEE, 2021, pp. 354–359
2021
Cited alongside, same era.
X. Xiao, T. Zhang, K. M. Choromanski, T.-W. E. Lee, A. Francis, J. Varley, S. Tu, S. Singh, P. Xu, F. Xia, S. M. Persson, L. Takayama, R. Frostig, J. Tan, C. Parada, and V. Sindhwani, “Learning model predictive controllers with real-time attention for real-world navigation,” in Conference on robot learning . PMLR, 2022
2022
Later among the works it cites.
X. Xiao, Z. Wang, Z. Xu, B. Liu, G. Warnell, G. Dhamankar, A. Nair, and P. Stone, “Appl: Adaptive planner parameter learning,” Robotics and Autonomous Systems , vol. 154, p. 104132, 2022
2022
Later among the works it cites.
H. Karnan, A. Nair, X. Xiao, G. Warnell, S. Pirk, A. Toshev, J. Hart, J. Biswas, and P. Stone, “Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 11 807–11 814, 2022
2022
Later among the works it cites.
X. Cai, M. Everett, J. Fink, and J. P. How, “Risk-aware off-road navigation via a learned speed distribution map,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2022, pp. 2931–2937
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X. Xiao, J. Biswas, and P. Stone, “Learning inverse kinodynamics for accurate high-speed off-road navigation on unstructured terrain,” IEEE Robotics and Automation Letters , vol. 6, no. 3, pp. 6054–6060, 2021
2021
Cited alongside, same era.
M. Sivaprakasam, S. Triest, W. Wang, P. Yin, and S. Scherer, “Improving off-road planning techniques with learned costs from physical interactions,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2021, pp. 4844–4850
2021
Cited alongside, same era.
Z. Xu, X. Xiao, G. Warnell, A. Nair, and P. Stone, “Machine learning methods for local motion planning: A study of end-to-end vs. parameter learning,” in 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) . IEEE, 2021, pp. 217–222
2021
Cited alongside, same era.
Z. Wang, X. Xiao, B. Liu, G. Warnell, and P. Stone, “Appli: Adaptive planner parameter learning from interventions,” in 2021 IEEE international conference on robotics and automation (ICRA) . IEEE, 2021, pp. 6079–6085
2021
Cited alongside, same era.
Z. Wang, X. Xiao, G. Warnell, and P. Stone, “Apple: Adaptive planner parameter learning from evaluative feedback,” IEEE Robotics and Automation Letters , vol. 6, no. 4, pp. 7744–7749, 2021
2021
Cited alongside, same era.
Z. Xu, G. Dhamankar, A. Nair, X. Xiao, G. Warnell, B. Liu, Z. Wang, and P. Stone, “Applr: Adaptive planner parameter learning from reinforcement,” in 2021 IEEE international conference on robotics and automation (ICRA) . IEEE, 2021, pp. 6086–6092
2021
Cited alongside, same era.
B. Liu, X. Xiao, and P. Stone, “A lifelong learning approach to mobile robot navigation,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 1090–1096, 2021
2021
Cited alongside, same era.
X. Xiao, B. Liu, G. Warnell, and P. Stone, “Toward agile maneuvers in highly constrained spaces: Learning from hallucination,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 1503–1510, 2021
2021
Cited alongside, same era.
2022
Later among the works it cites.
T. Miki, L. Wellhausen, R. Grandia, F. Jenelten, T. Homberger, and M. Hutter, “Elevation mapping for locomotion and navigation using gpu,” 2022
2022
Later among the works it cites.
T. Miki, L. Wellhausen, R. Grandia, F. Jenelten, T. Homberger, and M. Hutter, “Elevation mapping for locomotion and navigation using gpu,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2022, pp. 2273–2280
2022
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2023
Later among the works it cites.
Starship, “Starship,” https://www.starship.xyz/ , 2023
2023
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2023
Later among the works it cites.
H. Karnan, E. Yang, D. Farkash, G. Warnell, J. Biswas, and P. Stone, “Sterling: Self-supervised terrain representation learning from unconstrained robot experience,” in Conference on Robot Learning . PMLR, 2023, pp. 2393–2413
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Z. Xu, B. Liu, X. Xiao, A. Nair, and P. Stone, “Benchmarking reinforcement learning techniques for autonomous navigation,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 9224–9230
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
C. Mavrogiannis, F. Baldini, A. Wang, D. Zhao, P. Trautman, A. Steinfeld, and J. Oh, “Core challenges of social robot navigation: A survey,” ACM Transactions on Human-Robot Interaction , vol. 12, no. 3, pp. 1–39, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
D. M. Nguyen, M. Nazeri, A. Payandeh, A. Datar, and X. Xiao, “Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset,” in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2023
2023
Later among the works it cites.
J.-S. Park, X. Xiao, G. Warnell, H. Yedidsion, and P. Stone, “Learning perceptual hallucination for multi-robot navigation in narrow hallways,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 10 033–10 039
2023
Later among the works it cites.
A. Payandeh, K. T. Baghaei, P. Fayyazsanavi, S. B. Ramezani, Z. Chen, and S. Rahimi, “Deep representation learning: Fundamentals, technologies, applications, and open challenges,” IEEE Access , vol. 11, pp. 137 621–137 659, 2023
2023
Later among the works it cites.
K. Chen, R. Nemiroff, and B. T. Lopez, “Direct lidar-inertial odometry: Lightweight lio with continuous-time motion correction,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 3983–3989
2023
Later among the works it cites.
A. Datar, C. Pan, M. Nazeri, and X. Xiao, “Toward wheeled mobility on vertically challenging terrain: Platforms, datasets, and algorithms,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2024
2024
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Amazon Robotics, “Amazon announces new fulfillment center robots, sequoia and digit,” https://www.aboutamazon.com/news/operations/amazon-introduces-new-robotics-solutions , 2024
2024
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R. Mirsky, X. Xiao, J. Hart, and P. Stone, “Conflict avoidance in social navigation–a survey,” ACM Transactions on Human-Robot Interaction , 2024
2024
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