Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing

We propose a vision-proprioception model for planar object pushing, efficiently integrating all necessary information from the environment. A Variational Autoencoder (VAE) is used to extract compact representations from the task-relevant part of the image. With the real-time robot state obtained eas...

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Detalles Bibliográficos
Autores principales: Cong, Lin, Liang, Hongzhuo, Ruppel, Philipp, Shi, Yunlei, Görner, Michael, Hendrich, Norman, Zhang, Jianwei
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/PMC8926160/
https://www.ncbi.nlm.nih.gov/pubmed/35308311
http://dx.doi.org/10.3389/fnbot.2022.829437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926160/
https://www.ncbi.nlm.nih.gov/pubmed/35308311
http://dx.doi.org/10.3389/fnbot.2022.829437

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