A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments

Author:

Li Mengyuan,Guo Bin,Zhao Kaixing,Xu Ruonan,Liu Sicong,Mao Sitong,Zhou Shunbo,Xu Qiaobo,Yu Zhiwen

Publisher

Springer Nature Singapore

Reference35 articles.

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2. Katz, B., Carlo, J.D., Kim, S.: Mini cheetah: a platform for pushing the limits of dynamic quadruped control. In: 2019 International Conference on Robotics and Automation (ICRA) (2019)

3. Carlo, J.D., Wensing, P.M., Katz, B., Bledt, G., Kim, S.: Dynamic locomotion in the MIT cheetah 3 through convex model-predictive control. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)

4. Ding, Y., Pandala, A., Li, C., Shin, Y.H., Park, H.W.: Representation-free model predictive control for dynamic motions in quadrupeds. IEEE Trans. Robot. (2020)

5. Matas, J., James, S., Davison, A.J.: Sim-to-real reinforcement learning for deformable object manipulation. In: Conference on Robot Learning (2018)

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