Grasp Synthesis
Grasp Synthesis is a computational method within robot manipulation that generates optimal configurations for dexterous manipulation by determining the precise contact points and forces between a robotic hand and an object to achieve stable and task-appropriate grasps.
207
Publications
12.5K
Citations
486
Authors
200
Institutions
Publications per year
2017–2026
48
207
Data-Driven Grasp Synthesis—A Survey
IEEE Transactions on Robotics · 2014 · 851 citations · Full text
1Data-Driven Grasp Synthesis- A Survey
Jeannette Bohg, Antonio Morales, Tamim Asfour · 2016 · 554 citations
1–5 of 207
486
7
h-index
7
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7
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6
h-index
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
6 publications · 295 citations
6
h-index
1–5 of 486
200
Carnegie Mellon University
Pittsburgh, United States
16 h-index
32 publications
3.5K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
8 h-index
18 publications
872 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
7 h-index
17 publications
754 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
7 h-index
13 publications
556 citations

University of Massachusetts Amherst
Amherst Center, United States
7 h-index
15 publications
683 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
6 h-index
13 publications
1K citations

Harbin Institute of Technology
Harbin, China
6 h-index
8 publications
311 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
13 publications
1.1K citations
1–8 of 200
14 publications · 863 citations
13
h-index
IJRR · 10 publications · 2.9K citations
10
h-index
8 publications · 472 citations
8
h-index
8 publications · 350 citations
7
h-index
5 publications · 697 citations
5
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1–5