LORM: a novel reinforcement learning framework for biped gait control

LORM: a novel reinforcement learning framework for biped gait control

Legged robots are better able to adapt to different terrains compared with wheeled robots. However, traditional motion controllers suffer from extremely complex dynamics properties. Reinforcement learning (RL) helps to overcome the complications of dynamics design and calculation. In addition, the h...

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Bibliographic Details
Main Authors: Weiyi Zhang, Yancao Jiang, Fasih Ud Din Farrukh, Chun Zhang, Debing Zhang, Guangqi Wang
Format: Article
Language:English
Published: PeerJ Inc. 2022-03-01
Series:PeerJ Computer Science
Subjects:
Gait controlling
Robotic
Reinforcement learning
Online Access:https://peerj.com/articles/cs-927.pdf

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