Adaptive Grasp Planning
Adaptive Grasp Planning is a computational framework within prehension planning that enables the dynamic adjustment of grasping strategies in response to variations in object properties, environmental constraints, or task requirements through real-time sensory feedback and learning mechanisms.
12
Publications
362
Citations
49
Authors
22
Institutions
Publications per year
2017–2026
5
Parents
12
Iterative learning of grasp adaptation through human corrections
Eric L. Sauser, Brenna Argall, Giorgio Metta et al. · Robotics and Autonomous Systems · 2011 · 67 citations · Full text
João Pedro Carvalho de Souza, Carlos M. Costa, Luís F. Rocha et al. · Robotics and Computer-Integrated Manufacturing · 2020 · 31 citations · Full text
Engineering, Aerospace Engineering, Robotics Engineering +17
Biomimetic grasp planning for cortical control of a robotic hand
Matei Ciocarlie, Samuel T. Clanton, M. Chance Spalding et al. · 2008 · 22 citations · Full text
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49
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1
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1–5 of 49
22
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
5 publications
407 citations
University of Trás-os-Montes and Alto Douro
Vila Real, Portugal
1 h-index
3 publications
93 citations

Fuzhou University
Fuzhou, China
1 h-index
2 publications
30 citations

University of Tübingen
Tübingen, Germany
1 h-index
1 publications
16 citations
Universität Hamburg
Hamburg, Germany
1 h-index
1 publications
15 citations
INESC TEC
Porto, Portugal
1 h-index
7 publications
217 citations

Transylvania University of Brașov
Brasov, Romania
1 h-index
3 publications
36 citations
University of Würzburg
Würzburg, Germany
1 h-index
2 publications
32 citations
1–8 of 22
2 publications · 82 citations
2
h-index
1 publications · 103 citations
1
h-index
1 publications · 15 citations
1
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JECP · 1 publications · 16 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5