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/Subject (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.)
/Keywords (grasp planning, grasp type, visual attention, deep learning, multi-fingered robotic hand)
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dvips + MiKTeX GPL Ghostscript 9.0
grasp planning, grasp type, visual attention, deep learning, multi-fingered robotic hand
2019-09-12T15:36:02+02:00
2019-07-30T09:42:45+05:30
LaTeX with hyperref package + hypdvips
2019-07-30T10:54:22+05:30
c847aeb7-b4db-11e9-0000-2774a4993a14
uuid:13166566-7d5b-4c23-933f-b30612762a4a
application/pdf
Attention Based Visual Analysis for Fast Grasp Planning With a Multi-Fingered Robotic Hand
Zhen Deng
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.
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.
grasp planning
grasp type
visual attention
deep learning
multi-fingered robotic hand
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