Sensor-based Grasp Assessment
Sensor-Based Grasp Assessment is a grasp evaluation method that relies on empirical data from tactile, force, or proprioceptive sensors to determine the stability and quality of a robotic grasp, distinguishing it from model-based or vision-based approaches by its dependence on real-time physical feedback.
30
Publications
888
Citations
109
Authors
47
Institutions
Publications per year
2017–2026
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30
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception
Shaowei Cui, Rui Wang, Junhang Wei et al. · 2020 · 54 citations
A probabilistic framework for task-oriented grasp stability assessment
Yasemin Bekiroglu, Dan Song, Lu Wang et al. · 2013 · 40 citations
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Scuola Superiore Sant'Anna
Pisa, Italy
4 h-index
13 publications
378 citations

KTH Royal Institute of Technology
Stockholm, Sweden
3 h-index
7 publications
558 citations

University of Alicante
Alicante, Spain
3 h-index
9 publications
114 citations

National Taiwan University
Taipei, Taiwan
3 h-index
22 publications
305 citations
Università Campus Bio-Medico
Rome, Italy
2 h-index
12 publications
147 citations

Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
2 h-index
4 publications
418 citations

University of Belgrade
Belgrade, Serbia
2 h-index
4 publications
206 citations
Bielefeld University
Bielefeld, Germany
1 h-index
1 publications
12 citations
1–8 of 47
Repository · 2 publications · 24 citations
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Conference · 1 publications · 18 citations
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1 publications · 14 citations
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1 publications · 189 citations
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1 publications · 20 citations
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