Grasp Force Optimization
Grasp Force Optimization is a computational method in robotic manipulation that determines the minimal and stable distribution of forces applied by a robotic gripper to securely hold an object while minimizing energy expenditure and avoiding object damage.
47
Publications
2K
Citations
97
Authors
55
Institutions
Publications per year
2017–2026
5
Parents
47
1–5 of 47
97
6
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 97
55
Technical University of Munich
Munich, Germany
4 h-index
4 publications
391 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
549 citations

Australian National University
Canberra, Australia
4 h-index
4 publications
389 citations

University of Naples Federico II
Naples, Italy
3 h-index
9 publications
174 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
98 citations

Sorbonne Université
Paris, France
2 h-index
7 publications
118 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
4 publications
170 citations

University of Notre Dame
Notre Dame, United States
2 h-index
2 publications
86 citations
1–8 of 55
3 publications · 628 citations
3
h-index
3 publications · 47 citations
3
h-index
2 publications · 60 citations
2
h-index
2 publications · 271 citations
2
h-index
2 publications · 51 citations
2
h-index
1–5