Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators

J. Lee, J. Hwangbo, and M. Hutter, “Robust recovery controller for a quadrupedal robot using deep reinforcement learning,” CoRR , vol. abs/1901.07517, 2019. [Online]. Available: http://arxiv.org/abs/1901.07517

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V. Samy, K. Bouyarmane, and A. Kheddar, “Qp-based adaptive-gains compliance control in humanoid falls,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 4762–4767

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C. D. Bellicoso, K. Krämer, M. Stäuble, D. Sako, F. Jenelten, M. Bjelonic, and M. Hutter, “Alma-articulated locomotion and manipulation for a torque-controllable robot,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 8477–8483

2019

Later among the works it cites.

J. A. Castano, C. Zhou, and N. Tsagarakis, “Design a fall recovery strategy for a wheel-legged quadruped robot using stability feature space,” in 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) . IEEE, 2019, pp. 41–46

2019

Later among the works it cites.

J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning quadrupedal locomotion over challenging terrain,” Science robotics , vol. 5, no. 47, 2020

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2020

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H. Christensen, N. Amato, H. Yanco, M. Mataric, H. Choset, A. Drobnis, K. Goldberg, J. Grizzle, G. Hager, J. Hollerbach et al. , “A roadmap for us robotics–from internet to robotics 2020 edition,” Foundations and Trends® in Robotics , vol. 8, no. 4, pp. 307–424, 2021