Grasp Optimization is a computational framework within robotic manipulation that systematically evaluates and selects optimal hand configurations and contact forces for stable and dexterous multi-fingered grasping under physical and task constraints.
242
Publications
11.9K
Citations
577
Authors
235
Institutions
Publications per year
2017–2026
50
Parents
Publications
242
Carlo Ferrari, John Canny · 2003 · 903 citations · Full text
An overview of dexterous manipulation
Allison M. Okamura, N. Smaby, Mark R. Cutkosky · 2002 · 466 citations
1–5 of 242
Authors
577
- RS
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h-index
- MG
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- ML
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- YZ
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- AM
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1–5 of 577
Institutions
235
Universitat Politècnica de Catalunya
Barcelona, Spain
13 h-index
35 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
16 publications
690 citations
University of California, Berkeley
Berkeley, United States
9 h-index
29 publications
2.8K citations
AT&T (United States)
Bedminster, United States
8 h-index
8 publications
731 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
6 h-index
11 publications
604 citations
Stanford University
Stanford, United States
6 h-index
14 publications
1.2K citations
Columbia University
New York, United States
6 h-index
15 publications
2.6K citations
Harbin Institute of Technology
Harbin, China
6 h-index
12 publications
352 citations
1–8 of 235
Venues
- IEEE Transactions on Robotics
10 publications · 452 citations
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- The International Journal of Robotics Research
IJRR · 9 publications · 1.2K citations
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- IEEE Robotics and Automation Letters
9 publications · 298 citations
9
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- Mechanism and Machine Theory
7 publications · 199 citations
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- Computers & Operations Research
7 publications · 690 citations
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