Sensor-based Grasp Force Estimation
Sensor-Based Grasp Force Estimation is a method in grasp force control that uses physical sensors to measure and infer the applied gripping force, distinguishing itself by relying on direct sensory feedback from tactile, force, or proprioceptive sensors integrated into robotic or prosthetic hands.
39
Publications
1.3K
Citations
147
Authors
61
Institutions
Publications per year
2017–2026
16
Parents
39
Grasping force prediction based on sEMG signals
Ruyi Ma, Leilei Zhang, Gongfa Li et al. · Alexandria Engineering Journal · 2020 · 133 citations · Full text
1–5 of 39
147
2
h-index
1
h-index
1
h-index
Korea Advanced Institute of Science and Technology, South Korea
1 publications · 24 citations
1
h-index
1
h-index
1–5 of 147
61

Scuola Superiore Sant'Anna
Pisa, Italy
3 h-index
12 publications
533 citations

Harbin Institute of Technology
Harbin, China
3 h-index
15 publications
460 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
2 publications
165 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
44 citations
Piaggio (Italy)
Pontedera, Italy
2 h-index
6 publications
394 citations

Italian Institute of Technology
Genoa, Italy
2 h-index
5 publications
69 citations

Umeå University
Umeå, Sweden
2 h-index
3 publications
120 citations
Tokyo Institute of Technology
Tokyo, Japan
2 h-index
7 publications
237 citations
1–8 of 61
1 publications · 16 citations
2
h-index
2 publications · 53 citations
2
h-index
2 publications · 70 citations
2
h-index
1 publications · 15 citations
2
h-index
1 publications · 10 citations
1
h-index
1–5