Attention Based Visual Analysis for Fast Grasp Planning With a Multi-Fingered Robotic Hand

We present an attention based visual analysis framework to compute grasp-relevant information which helps to guide grasp planning using a multi-fingered robotic hand. Our approach uses a computational visual attention model to locate regions of interest in a scene and employ a deep convolutional neu...

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Bibliographic Details
Published in:	Frontiers in Neurorobotics
Main Authors:	Zhen Deng, Ge Gao, Simone Frintrop, Fuchun Sun, Changshui Zhang, Jianwei Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2019-07-01
Subjects:	grasp planning grasp type visual attention deep learning multi-fingered robotic hand
Online Access:	https://www.frontiersin.org/article/10.3389/fnbot.2019.00060/full

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