Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Author:
Affiliation:
1. Tsinghua University,China
2. Shanghai Artificial Intelligence Laboratory,China
3. Tencent Robotics X,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610086.pdf?arnumber=10610086
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1. Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization
2. Highly dynamic quadruped locomotion via whole-body impulse control and model predictive control;Kim,2019
3. Learning agile and dynamic motor skills for legged robots
4. Isaac gym: High performance gpu-based physics simulation for robot learning;Makoviychuk
5. Learning to walk in minutes using massively parallel deep reinforcement learning;Rudin
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