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GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping †

We propose a dual-module robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the scene. We present an improved version of the Generative Residual Convolutional Neural Network (GR-ConvNet v2) model that can generat...

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Detalles Bibliográficos
Autores principales: Kumra, Sulabh, Joshi, Shirin, Sahin, Ferat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415764/
https://www.ncbi.nlm.nih.gov/pubmed/36015978
http://dx.doi.org/10.3390/s22166208