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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...
Autores principales: | Cong, Lin, Liang, Hongzhuo, Ruppel, Philipp, Shi, Yunlei, Görner, Michael, Hendrich, Norman, Zhang, Jianwei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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