Object Grasp Planning
Object Grasp Planning is a computational method in robot manipulation that determines optimal configurations for a robotic end-effector to securely acquire and stabilize a target object based on its geometry, physics, and environmental constraints.
156
Publications
7.6K
Citations
522
Authors
164
Institutions
Publications per year
2017–2026
51
Parents
156
Grasp planning in complex scenes
Dmitry Berenson, Rosen Diankov, Koichi Nishiwaki et al. · 2007 · 186 citations
1–5 of 156
522
7
h-index
National Institute of Advanced Industrial Science and Technology, Japan
7 publications · 223 citations
7
h-index
5
h-index
4
h-index
National Institute of Advanced Industrial Science and Technology, Japan
4 publications · 116 citations
4
h-index
1–5 of 522
164
University of California, Berkeley
Berkeley, United States
9 h-index
45 publications
4.1K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
12 publications
1.2K citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
8 h-index
28 publications
1.4K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
6 h-index
10 publications
284 citations
University of Pennsylvania
Philadelphia, United States
6 h-index
14 publications
706 citations
Bielefeld University
Bielefeld, Germany
5 h-index
14 publications
290 citations
Technical University of Munich
Munich, Germany
5 h-index
10 publications
850 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
13 publications
610 citations
1–8 of 164
8 publications · 328 citations
8
h-index
Repository · 5 publications · 148 citations
5
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IJRR · 5 publications · 715 citations
5
h-index
5 publications · 247 citations
5
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3 publications · 102 citations
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1–5