Continuous mode adaptation for cable-driven rehabilitation robot using reinforcement learning

Continuous mode adaptation is very important and useful to satisfy the different user rehabilitation needs and improve human–robot interaction (HRI) performance for rehabilitation robots. Hence, we propose a reinforcement-learning-based optimal admittance control (RLOAC) strategy for a cable-driven...

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Detalles Bibliográficos
Autores principales: Yang, Renyu, Zheng, Jianlin, Song, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813438/
https://www.ncbi.nlm.nih.gov/pubmed/36620486
http://dx.doi.org/10.3389/fnbot.2022.1068706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813438/
https://www.ncbi.nlm.nih.gov/pubmed/36620486
http://dx.doi.org/10.3389/fnbot.2022.1068706

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