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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...

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Detalles Bibliográficos
Autores principales: Jiang, Ping, Oaki, Junji, Ishihara, Yoshiyuki, Ooga, Junichiro, Han, Haifeng, Sugahara, Atsushi, Tokura, Seiji, Eto, Haruna, Komoda, Kazuma, Ogawa, Akihito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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