Soft Sensor Fusion
Soft Sensor Fusion is a sensor integration methodology that combines data from flexible, deformable sensing elements with complementary sensing modalities to enhance proprioceptive awareness in soft robotic systems.
66
Publications
2.2K
Citations
220
Authors
113
Institutions
Publications per year
2017–2026
31
Parents
66
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao et al. · 2019 · 162 citations
Soft sensor for and using dynamic neural networks
Muhammad Shakil, M. Elshafei, Mohamed A. Habib et al. · Computers & Electrical Engineering · 2008 · 85 citations
A Framework for Dynamic Hard/Soft Fusion
2008 · 85 citations
1–5 of 66
220
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113

Central South University
Changsha, China
3 h-index
14 publications
1.2K citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
9 publications
150 citations
University of Oxford
Oxford, United Kingdom
2 h-index
9 publications
1.1K citations
Multimedia University
Malacca, Malaysia
2 h-index
6 publications
89 citations

Inha University
Incheon, South Korea
2 h-index
5 publications
71 citations
University of Florida
Gainesville, United States
2 h-index
4 publications
56 citations

Buffalo State University
Buffalo, United States
2 h-index
8 publications
171 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
9 publications
203 citations
1–8 of 113
5 publications · 183 citations
5
h-index
4 publications · 88 citations
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Conference · 3 publications · 48 citations
3
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2 publications · 115 citations
2
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2 publications · 72 citations
2
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1–5