Multimodal Slip Detection
Multimodal Slip Detection is a slip detection framework that integrates data from multiple sensory modalities—such as tactile, visual, auditory, and inertial measurements—to enhance the accuracy and robustness of slip identification in robotic or prosthetic manipulation tasks.
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Institutions
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2017–2026
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Haoyu Hu, Fabien Briffod, Takayuki Shiraiwa et al. · International Journal of Plasticity · 2023 · 50 citations
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University of Electronic Science and Technology of China
Chengdu, China
1 h-index
1 publications
36 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
62 citations
Tsinghua University
Beijing, China
1 h-index
3 publications
108 citations
University of Bremen
Bremen, Germany
1 h-index
2 publications
72 citations
The University of Tokyo
Tokyo, Japan
1 h-index
4 publications
200 citations

Tohoku University
Sendai, Japan
1 h-index
1 publications
68 citations

Bhabha Atomic Research Centre
Mumbai, India
1 h-index
1 publications
11 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
1 h-index
1 publications
36 citations
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1 publications · 31 citations
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ARS · 1 publications · 36 citations
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1 publications · 68 citations
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1 publications · 11 citations
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1 publications · 50 citations
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