Tactile Data Fusion is the systematic integration of multimodal sensory inputs involving tactile information with data from other modalities or sources to enhance perception, interpretation, or decision-making in robotic and neuroscientific applications.
40
Publications
1.9K
Citations
124
Authors
54
Institutions
Publications per year
2017–2026
26
Parents
Publications
40
Visual–Tactile Fusion for Object Recognition
Huaping Liu, Yuanlong Yu, Fuchun Sun et al. · IEEE Transactions on Automation Science and Engineering · 2016 · 246 citations
A hybrid deep architecture for robotic grasp detection
Di Guo, Fuchun Sun, Huaping Liu et al. · 2017 · 219 citations
1–5 of 40
Authors
124
- FS
5
h-index
- YC
4
h-index
- GS
3
h-index
- BF
3
h-index
- WY
3
h-index
1–5 of 124
Institutions
54
Tsinghua University
Beijing, China
6 h-index
21 publications
2K citations
Chinese Academy of Sciences
Beijing, China
6 h-index
21 publications
600 citations
Shenyang Institute of Automation
Shenyang, China
4 h-index
14 publications
393 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
2 h-index
9 publications
249 citations
Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
2 h-index
2 publications
104 citations
Columbia University
New York, United States
2 h-index
3 publications
345 citations
Aalto University
Espoo, Finland
2 h-index
2 publications
104 citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
286 citations
1–8 of 54
Venues
- IEEE Robotics and Automation Letters
3 publications · 157 citations
3
h-index
- IEEE Transactions on Automation Science and Engineering
2 publications · 267 citations
2
h-index
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 54 citations
2
h-index
- IEEE Transactions on Instrumentation and Measurement
2 publications · 57 citations
2
h-index
- The International Journal of Robotics Research
IJRR · 2 publications · 213 citations
2
h-index
1–5