Vision-Based Grasp Planning is a computational method within grasp planning that integrates visual sensory input to determine optimal object gripping configurations, distinguished from other grasp planning approaches by its reliance on vision data to guide and inform the selection of grasp poses.
92
Publications
3.7K
Citations
311
Authors
115
Institutions
Publications per year
2017–2026
33
Publications
92
Reactive grasping using optical proximity sensors
Kaijen Hsiao, Paul Nangeroni, Manfred Huber et al. · 2009 · 163 citations · Full text
Real-time tracking meets online grasp planning
Danica Kragić, Andrew Miller, Peter K. Allen · 2002 · 111 citations · Full text
1–5 of 92
Authors
311
- DK
7
h-index
- TA
5
h-index
- AM
5
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- FS
4
h-index
- ÁP
4
h-index
1–5 of 311
Institutions
115
KTH Royal Institute of Technology
Stockholm, Sweden
7 h-index
20 publications
805 citations
Universitat Jaume I
Castellon, Spain
7 h-index
16 publications
807 citations
Tsinghua University
Beijing, China
4 h-index
12 publications
618 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
15 publications
311 citations
Maersk (Denmark)
Copenhagen, Denmark
3 h-index
12 publications
700 citations
University of Southern Denmark
Odense, Denmark
3 h-index
12 publications
700 citations
University of California, Berkeley
Berkeley, United States
3 h-index
14 publications
428 citations
University of Birmingham
Birmingham, United Kingdom
3 h-index
16 publications
1.1K citations
1–8 of 115
Venues
- Robotics and Autonomous Systems
6 publications · 323 citations
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- The International Journal of Robotics Research
IJRR · 3 publications · 179 citations
3
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- IEEE Transactions on Systems Man and Cybernetics Systems
3 publications · 156 citations
3
h-index
- Experimental Brain Research
2 publications · 47 citations
2
h-index
- IEEE Robotics & Automation Magazine
2 publications · 84 citations
2
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1–5