Fetching the paper…
Reading the bibliography…
In this paper, we consider a general task of jumping varying distances and heights for a quadrupedal robot in noisy environments, such as off of uneven terrain and with variable robot dynamics parameters.
R. S. Sutton and A. G. Barto, Reinforcement learning - an introduction , ser. Adaptive computation and machine learning. MIT Press, 1998
1998
Earlier work this paper cites.
M. Noh, S.-W. Kim, S. An, J.-S. Koh, and K.-J. Cho, “Flea-inspired catapult mechanism for miniature jumping robots,” IEEE Transactions on Robotics , vol. 28, no. 5, pp. 1007–1018, 2012
2012
Earlier work this paper cites.
D. W. Haldane, M. M. Plecnik, J. K. Yim, and R. S. Fearing, “Robotic vertical jumping agility via series-elastic power modulation,” Science Robotics , vol. 1, no. 1, 2016
2016
Earlier work this paper cites.
Boston Dynamics. (2017, February) Introducing handle. https://www.youtube.com/watch?v=-7xvqQeoA8c
2017
Earlier work this paper cites.
H.-W. Park, P. M. Wensing, and S. Kim, “High-speed bounding with the mit cheetah 2: Control design and experiments,” The International Journal of Robotics Research , vol. 36, no. 2, pp. 167–192, 2017
2017
Earlier work this paper cites.
Y. Ding and H.-W. Park, “Design and experimental implementation of a quasi-direct-drive leg for optimized jumping,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 300–305
2017
Earlier work this paper cites.
J. Tan, T. Zhang, E. Coumans, A. Iscen, Y. Bai, D. Hafner, S. Bohez, and V. Vanhoucke, “Sim-to-real: Learning agile locomotion for quadruped robots,” in Proceedings of Robotics: Science and Systems , Pittsburgh, Pennsylvania, June 2018
2018
Earlier work this paper cites.
T. Haarnoja, A. Zhou, P. Abbeel, and S. Levine, “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,” in International conference on machine learning . PMLR, 2018, pp. 1861–1870
2018
Earlier work this paper cites.
B. Katz, J. Di Carlo, and S. Kim, “Mini cheetah: A platform for pushing the limits of dynamic quadruped control,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 6295–6301
2019
Earlier work this paper cites.
V. Klemm, A. Morra, C. Salzmann, F. Tschopp, K. Bodie, L. Gulich, N. Küng, D. Mannhart, C. Pfister, M. Vierneisel et al. , “Ascento: A two-wheeled jumping robot,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 7515–7521
2019
Cited alongside, same era.
Q. Nguyen, M. J. Powell, B. Katz, J. D. Carlo, and S. Kim, “Optimized jumping on the mit cheetah 3 robot,” in 2019 International Conference on Robotics and Automation (ICRA) , 2019, pp. 7448–7454
2019
Cited alongside, same era.
H. Kolvenbach, E. Hampp, P. Barton, R. Zenkl, and M. Hutter, “Towards jumping locomotion for quadruped robots on the moon,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2019, pp. 5459–5466
2019
Cited alongside, same era.
J. K. Yim, E. K. Wang, and R. S. Fearing, “Drift-free roll and pitch estimation for high-acceleration hopping,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 8986–8992
2019
A. Kumar, Z. Fu, D. Pathak, and J. Malik, “Rma: Rapid motor adaptation for legged robots,” in Robotics: Science and Systems , 2021
2021
Closest in time.
Unitree Robotics. (2021, February) A1. https://www.unitree.com/products/a1/
2021
Closest in time.
C. V. Nguyen, L. Bao, and Q. Nguyen, “Continuous jumping for legged robots on stepping stones via trajectory optimization and model predictive control,” in 2022 IEEE 61th Conference on Decision and Control (CDC) , 2022, pp. 93–99
2022
Closest in time.
C. V. Nguyen and Q. Nguyen, “Contact-timing and trajectory optimization for 3d jumping on quadruped robots,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022, pp. 11 994–11 999
2022
Closest in time.
G. Ji, J. Mun, H. Kim, and J. Hwangbo, “Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 4630–4637, 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter, “Learning agile and dynamic motor skills for legged robots,” Science Robotics , vol. 4, no. 26, 2019
2019
Cited alongside, same era.
G. Bellegarda and K. Byl, “Training in task space to speed up and guide reinforcement learning,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2019, pp. 2693–2699
2019
Cited alongside, same era.
2019
Cited alongside, same era.
J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning quadrupedal locomotion over challenging terrain,” Science Robotics , vol. 5, no. 47, 2020
2020
Cited alongside, same era.
X. B. Peng, E. Coumans, T. Zhang, T.-W. E. Lee, J. Tan, and S. Levine, “Learning agile robotic locomotion skills by imitating animals,” in Robotics: Science and Systems , July 2020
2020
Cited alongside, same era.
2022
Closest in time.
T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning robust perceptive locomotion for quadrupedal robots in the wild,” Science Robotics , 2022
2022
Closest in time.
G. Bellegarda, Y. Chen, Z. Liu, and Q. Nguyen, “Robust high-speed running for quadruped robots via deep reinforcement learning,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022, pp. 10 364–10 370
2022
Closest in time.
G. Bellegarda and A. Ijspeert, “CPG-RL: Learning central pattern generators for quadruped locomotion,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 12 547–12 554, 2022
2022
Closest in time.
Boston Dynamics. (2023, January) Atlas gets a grip. https://www.youtube.com/watch?v=-e1_QhJ1EhQ
2023
Closest in time.