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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Detalles Bibliográficos
Autores principales: Zhang, Weiyi, Jiang, Yancao, Farrukh, Fasih Ud Din, Zhang, Chun, Zhang, Debing, Wang, Guangqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Robotics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044250/
https://www.ncbi.nlm.nih.gov/pubmed/35494792
http://dx.doi.org/10.7717/peerj-cs.927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044250/
https://www.ncbi.nlm.nih.gov/pubmed/35494792
http://dx.doi.org/10.7717/peerj-cs.927

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