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Traversing 3-D complex environments has always been a significant challenge for legged locomotion.
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J. Hwangbo, C. D. Bellicoso, P. Fankhauser and M. Hutter, ”Probabilistic foot contact estimation by fusing information from dynamics and differential/forward kinematics”, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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S. Haddadin, A. De Luca and A. Albu-Schäffer, ”Robot Collisions: A Survey on Detection, Isolation, and Identification”, in IEEE Transactions on Robotics
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J. Vorndamme, M. Schappler and S. Haddadin, ”Collision detection, isolation and identification for humanoids”, 2017 IEEE International Conference on Robotics and Automation (ICRA)
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M. Iskandar, O. Eiberger, A. Albu-Schäffer, A. De Luca and A. Dietrich, ”Collision Detection, Identification, and Localization on the DLR SARA Robot with Sensing Redundancy”, 2021 IEEE International Conference on Robotics and Automation (ICRA)
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2021
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A. Kumar, Z. Fu, D. Pathak, and J. Malik, ”RMA: Rapid Motor Adaptation for Legged Robots”, in Robotics: Science and Systems XVII
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2021
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V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, et al., “Isaac Gym: High performance GPU-based physics simulation for robot learning”, Advances in Neural Information Processing Systems
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2023
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2023
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2023
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2023
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2021
Cited alongside, same era.
Nikita Rudin, David Hoeller, Philipp Reist, and Marco Hutter. Learning to walk in minutes using massively parallel deep reinforcement learning. In Conference on Robot Learning (CoRL), 2021
2021
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2022
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2022
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Takahiro Miki et al, ”Learning robust perceptive locomotion for quadrupedal robots in the wild”, Science Robotics
2022
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2022
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G. B. Margolis and P. Agrawal, ”Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior”, 6th Annual Conference on Robot Learning
2022
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N. Rudin, D. Hoeller, P. Reist, and M. Hutter, ”Learning to walk in minutes using massively parallel deep reinforcement learning”, in Proc. Conference on Robot Learning (CoRL)
2022
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2023
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Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher Atkeson, Sören Schwertfeger, Chelsea Finn, and Hang Zhao, ”Robot Parkour Learning”, In Conference on Robot Learning (CoRL)
2023
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2023
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Jinze Wu, Guiyang Xin, Chenkun Qi, and Yufei Xue. ”Learning robust and agile legged locomotion using adversarial motion priors”, IEEE Robotics and Automation Letters, 2023
2023
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2023
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David Hoeller et al, ”ANYmal parkour: Learning agile navigation for quadrupedal robots”, Science Robotics
2024
Closest in time.
Joonho Lee et al, ”Learning robust autonomous navigation and locomotion for wheeled-legged robots”, Science Robotics
2024
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Fabian Jenelten et al, ”DTC: Deep Tracking Control”, Science Robotics
2024
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2024
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2024
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