Learning Robust and Agile Legged Locomotion Using Adversarial Motion Priors

Developing both robust and agile locomotion skills for legged robots is non-trivial. In this work, we present the first blind locomotion system capable of traversing challenging terrains robustly while moving rapidly over natural terrains. Our approach incorporates the Adversarial Motion Priors (AMP...

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Vydané v:	IEEE robotics and automation letters Ročník 8; číslo 8; s. 1 - 8
Hlavní autori:	Wu, Jinze, Xin, Guiyang, Qi, Chenkun, Xue, Yufei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Behavioral sciences Coders Legged locomotion Legged Robots Locomotion Machine Learning for Robot Control Reinforcement Learning Robot dynamics Robot sensing systems Robots Robustness Sensors Task analysis Training
ISSN:	2377-3766, 2377-3766
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