Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals
Tingguang Li, Yizheng Zhang, Chong Zhang, Qingxu Zhu, Jiapeng Sheng, Wanchao Chi, Cheng Zhou, Lei Han
Abstract
In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method consists of two steps: an imitation learning step to learn from motions of real animals, and a terrain adaptation step to enable generalization to unseen terrains. We capture motions from a Labrador on various terrains to facilitate terrain adaptive locomotion. Our experiments demonstrate that our policy can traverse various terrains and produce a natural-looking behavior. We deployed our method on the real quadruped robot \boldsymbol{Max}\boldsymbol{Max} [1] via zero-shot simulation-to-reality transfer, achieving a speed of 1.1 m/s on stairs climbing.
BibTeX
@inproceedings{iros2023_learningterraina,
title = {Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals},
author = {Tingguang Li and Yizheng Zhang and Chong Zhang and Qingxu Zhu and Jiapeng Sheng and Wanchao Chi and Cheng Zhou and Lei Han},
booktitle = {IROS 2023},
year = {2023}
}