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Sim-to-real via latent prediction: Transferring visual non-prehensile manipulation policies
Reinforcement Learning has been shown to have a great potential for robotics. It demonstrated the capability to solve complex manipulation and locomotion tasks, even by learning end-to-end policies that operate directly on visual input, removing the need for custom perception systems. However, for p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879568/ https://www.ncbi.nlm.nih.gov/pubmed/36714802 http://dx.doi.org/10.3389/frobt.2022.1067502 |