Deep learning‐based grasp‐detection method for a five‐fingered industrial robot hand

To improve the accuracy of robotic grasp in some uncertain environments, a deep learning‐based object‐detection method for a five‐fingered industrial robot hand model is proposed in this study. The authors first design a five‐fingered industrial robot hand model with 21‐degrees of freedom (DOF). Bas...

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Bibliographic Details
Main Authors: Ya Chao, Xingchen Chen, Nanfeng Xiao
Format: Article
Language:English
Published: Wiley 2019-02-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2018.5002