Object Manipulation with an Anthropomorphic Robotic Hand via Deep Reinforcement Learning with a Synergy Space of Natural Hand Poses

Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand with a high degree of freedom. In this work, we pr...

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Detalles Bibliográficos
Autores principales: Rivera, Patricio, Valarezo Añazco, Edwin, Kim, Tae-Seong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400557/
https://www.ncbi.nlm.nih.gov/pubmed/34450741
http://dx.doi.org/10.3390/s21165301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400557/
https://www.ncbi.nlm.nih.gov/pubmed/34450741
http://dx.doi.org/10.3390/s21165301

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