Grasp Rectangle Detection
Grasp Rectangle Detection is a computational task in robotic vision that identifies the optimal oriented rectangle in a 2D image representing a stable hand configuration for grasping an object, distinguished from other grasp detection forms by its exclusive use of rectangular bounding primitives to encode grasp poses.
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1.6K
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59
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28
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2017–2026
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Fully Convolutional Grasp Detection Network with Oriented Anchor Box
Xinwen Zhou, Xuguang Lan, Hanbo Zhang et al. · 2018 · 227 citations
Qunchao Yu, Weiwei Shang, Zengzhi Zhao et al. · IEEE Transactions on Automation Science and Engineering · 2020 · 56 citations
Deep vision networks for real-time robotic grasp detection
Di Guo, Fuchun Sun, Tao Kong et al. · International Journal of Advanced Robotic Systems · 2016 · 48 citations · Full text
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Northwestern Polytechnical University
Xi'an, China
3 h-index
10 publications
232 citations
Shanxi University
Taiyuan, China
2 h-index
2 publications
57 citations
Indian Institute of Information Technology Allahabad
Prayagraj, India
2 h-index
9 publications
132 citations
University of the West of England
Bristol, United Kingdom
1 h-index
1 publications
47 citations

South China University of Technology
Guangzhou, China
1 h-index
2 publications
94 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
29 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
1 h-index
1 publications
56 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
912 citations
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2 publications · 72 citations
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2 publications · 74 citations
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1 publications · 14 citations
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Repository · 1 publications · 22 citations
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1 publications · 13 citations
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