Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking
Deep learning has been widely used for inferring robust grasps. Although human-labeled RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of large dataset is expensive. To address this problem, images were generated by a physical simulator, and a physically in...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2022-03-01
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| coleção: | Frontiers in Neurorobotics |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.806898/full |
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