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...

Full description

Bibliographic Details

Published in:	IEEE robotics and automation letters Vol. 8; no. 8; pp. 1 - 8
Main Authors:	Wu, Jinze, Xin, Guiyang, Qi, Chenkun, Xue, Yufei
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!