Force-closure Prediction
Force-Closure Prediction is a computational method in grasp pose estimation that identifies robot hand configurations capable of maintaining a stable grasp on an object by predicting whether the applied forces and moments can resist external disturbances without slip, distinguishing it from general grasp feasibility by explicitly evaluating mechanical equilibrium and frictional constraints.
19
Publications
857
Citations
45
Authors
26
Institutions
Publications per year
2017–2026
1
Parents
19
1–5 of 19
45
3
h-index
3
h-index
2
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2
h-index
Singapore Institute of Manufacturing Technology, Singapore
2 publications · 185 citations
2
h-index
1–5 of 45
26
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
3 publications
92 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
6 publications
160 citations

New Mexico State University
Las Cruces, United States
3 h-index
6 publications
246 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
66 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
1 h-index
2 publications
34 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
1 publications
17 citations

Pasadena City College
Pasadena, United States
1 h-index
2 publications
106 citations
Singapore Institute of Manufacturing Technology
Singapore, Singapore
1 h-index
2 publications
170 citations
1–8 of 26
2 publications · 152 citations
2
h-index
2 publications · 133 citations
2
h-index
2 publications · 130 citations
2
h-index
1 publications · 44 citations
1
h-index
1 publications · 39 citations
1
h-index
1–5