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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...
Autores principales: | Kumra, Sulabh, Joshi, Shirin, Sahin, Ferat |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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