Tactile-based Object Recognition
Tactile-Based Object Recognition is a methodological framework within robotic感知 systems that enables the identification of object properties and categories through the analysis of tactile sensory data obtained during physical interaction, distinguishing itself from other perception modalities by relying exclusively on somatosensory feedback from contact.
210
Publications
11.3K
Citations
626
Authors
254
Institutions
Publications per year
2017–2026
85
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1–5 of 210
626
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Tsinghua University
Beijing, China
13 h-index
46 publications
4.1K citations
Technical University of Munich
Munich, Germany
11 h-index
39 publications
1.8K citations
University of Pennsylvania
Philadelphia, United States
9 h-index
15 publications
710 citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
11 publications
1.1K citations

University of Ottawa
Ottawa, Canada
6 h-index
13 publications
292 citations

Universidad de Málaga
Málaga, Spain
6 h-index
22 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
30 publications
2.5K citations
North Carolina State University
Raleigh, United States
5 h-index
16 publications
453 citations
1–8 of 254
8 publications · 313 citations
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8 publications · 279 citations
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5 publications · 279 citations
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5 publications · 414 citations
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5 publications · 181 citations
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