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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...
Autores principales: | , , , , , , , , , |
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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/PMC8987443/ https://www.ncbi.nlm.nih.gov/pubmed/35401137 http://dx.doi.org/10.3389/fnbot.2022.806898 |