ClueDepth Grasp: Leveraging positional clues of depth for completing depth of transparent objects

Obtaining accurate depth information is key to robot grasping tasks. However, for transparent objects, RGB-D cameras have difficulty perceiving them owing to the objects' refraction and reflection properties. This property makes it difficult for humanoid robots to perceive and grasp everyday tr...

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Detalles Bibliográficos
Autores principales: Hong, Yuanlin, Chen, Junhong, Cheng, Yu, Han, Yishi, Reeth, Frank Van, Claesen, Luc, Liu, Wenyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679009/
https://www.ncbi.nlm.nih.gov/pubmed/36425928
http://dx.doi.org/10.3389/fnbot.2022.1041702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679009/
https://www.ncbi.nlm.nih.gov/pubmed/36425928
http://dx.doi.org/10.3389/fnbot.2022.1041702

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