Vision-based Slip Detection
Vision-Based Slip Detection is a method within the domain of robotic tactile sensing that uniquely employs visual data from cameras or vision systems to identify and analyze slippage events by detecting motion patterns or deformations on object surfaces during manipulation.
63
Publications
2.9K
Citations
220
Authors
96
Institutions
Publications per year
2017–2026
29
Parents
63
Maintaining Grasps within Slipping Bounds by Monitoring Incipient Slip
Siyuan Dong, Daolin Ma, Elliott Donlon et al. · 2019 · 99 citations
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Nagoya University
Nagoya, Japan
4 h-index
11 publications
298 citations
The University of Tokyo
Tokyo, Japan
4 h-index
10 publications
415 citations

Tohoku University
Sendai, Japan
3 h-index
5 publications
339 citations
Tsinghua University
Beijing, China
3 h-index
11 publications
432 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
335 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
665 citations
The University of Osaka
Osaka, Japan
2 h-index
4 publications
177 citations
Khalifa University of Science and Technology
Abu Dhabi, United Arab Emirates
2 h-index
7 publications
321 citations
1–8 of 96
5 publications · 224 citations
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Conference · 2 publications · 52 citations
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2 publications · 127 citations
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Repository · 2 publications · 25 citations
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2 publications · 60 citations
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