From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems

Redundant muscles in human-like musculoskeletal robots provide additional dimensions to the solution space. Consequently, the computation of muscle excitations remains an open question. Conventional methods like dynamic optimization and reinforcement learning usually have high computational costs or...

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Detalles Bibliográficos
Autores principales: Zhou, Junjie, Chen, Jiahao, Deng, Hu, Qiao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685088/
https://www.ncbi.nlm.nih.gov/pubmed/31417392
http://dx.doi.org/10.3389/fnbot.2019.00061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685088/
https://www.ncbi.nlm.nih.gov/pubmed/31417392
http://dx.doi.org/10.3389/fnbot.2019.00061

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