Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications

Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used to predict grasping points, and have shown strong generalization capabilities under uncertainty. Particularly, approaches that aim at predict...

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Detalles Bibliográficos
Autores principales: Iriondo, Ander, Lazkano, Elena, Ansuategi, Ander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865998/
https://www.ncbi.nlm.nih.gov/pubmed/33530409
http://dx.doi.org/10.3390/s21030816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865998/
https://www.ncbi.nlm.nih.gov/pubmed/33530409
http://dx.doi.org/10.3390/s21030816

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