Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

Modeling human motor control and predicting how humans will move in novel environments is a grand scientific challenge. Researchers in the fields of biomechanics and motor control have proposed and evaluated motor control models via neuromechanical simulations, which produce physically correct motio...

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Detalles Bibliográficos
Autores principales: Song, Seungmoon, Kidziński, Łukasz, Peng, Xue Bin, Ong, Carmichael, Hicks, Jennifer, Levine, Sergey, Atkeson, Christopher G., Delp, Scott L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365920/
https://www.ncbi.nlm.nih.gov/pubmed/34399772
http://dx.doi.org/10.1186/s12984-021-00919-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365920/
https://www.ncbi.nlm.nih.gov/pubmed/34399772
http://dx.doi.org/10.1186/s12984-021-00919-y

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