Tactile Data Analysis is a computational methodology that distinguishes itself by systematically extracting, interpreting, and transforming raw tactile sensor signals into meaningful representations of physical interaction properties, such as texture, force, and surface geometry, to enable machine perception and decision-making in robotics and haptic systems.
118
Publications
4.8K
Citations
375
Authors
149
Institutions
Publications per year
2017–2026
51
Parents
Publications
118
Angela Chang, Sile O’Modhrain, Rob Jacob et al. · 2002 · 274 citations
Computing, Communication, Design +17
Analysis of tactile and visual confusion matrices
Jack M. Loomis · Perception & Psychophysics · 1982 · 123 citations
1–5 of 118
Authors
375
- MV
9
h-index
- AI
6
h-index
- YJ
4
h-index
- RI
3
h-index
- MA
3
h-index
1–5 of 375
Institutions
149
University of Genoa
Genoa, Italy
11 h-index
37 publications
1.3K citations
Tsinghua University
Beijing, China
6 h-index
17 publications
935 citations
Shenzhen Academy of Robotics
Shenzhen, China
4 h-index
4 publications
143 citations
Iowa State University
Ames, United States
4 h-index
7 publications
122 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
3 h-index
17 publications
455 citations
Waseda University
Tokyo, Japan
3 h-index
10 publications
527 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
13 publications
351 citations
Bristol Robotics Laboratory
Bristol, United Kingdom
2 h-index
5 publications
113 citations
1–8 of 149
Venues
- IEEE Transactions on Automation Science and Engineering
4 publications · 95 citations
4
h-index
- IEEE Transactions on Instrumentation and Measurement
4 publications · 252 citations
4
h-index
- The International Journal of Robotics Research
IJRR · 4 publications · 378 citations
4
h-index
- IEEE Robotics and Automation Letters
4 publications · 100 citations
4
h-index
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference · 3 publications · 61 citations
3
h-index
1–5