Adaptive Hand Control
Adaptive Hand Control is a control framework in robotics that autonomously adjusts grasp parameters in real time through sensory feedback and learning algorithms to maintain stability and dexterity across varying object properties and environmental conditions.
74
Publications
3.1K
Citations
239
Authors
88
Institutions
Publications per year
2017–2026
23
Parents
74
R. Tomović, Giuseppe Boni · IRE Transactions on Automatic Control · 1962 · 137 citations
Engineering, Mechatronics Engineering, Robotics Engineering +14
Adaptive synergies: An approach to the design of under-actuated robotic hands
Giorgio Grioli, Manuel G. Catalano, Emanuele Silvestro et al. · 2012 · 115 citations · Full text
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Tsinghua University
Beijing, China
11 h-index
40 publications
1K citations

University of Auckland
Auckland, New Zealand
5 h-index
14 publications
386 citations
Yale University
New Haven, United States
4 h-index
6 publications
198 citations

Italian Institute of Technology
Genoa, Italy
4 h-index
10 publications
3.8K citations
University of Akron
Akron, United States
3 h-index
5 publications
75 citations
Northwestern University
Evanston, United States
3 h-index
3 publications
68 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
175 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
26 citations
1–8 of 88
5 publications · 200 citations
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3 publications · 84 citations
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2 publications · 124 citations
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IJPEM · 2 publications · 42 citations
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2 publications · 337 citations
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