Human-inspired Grasping
Human-Inspired Grasping is a robotic grasping approach that, as a subclass of adaptive and compliant grasping methods, integrates biomechanical and neuromotor principles observed in human hand function to enable dexterous, context-aware manipulation through shared compliance and sensorimotor feedback.
56
Publications
4K
Citations
220
Authors
84
Institutions
Publications per year
2017–2026
18
56
Human-Inspired Robotic Grasp Control With Tactile Sensing
Joseph M. Romano, Kaijen Hsiao, Günter Niemeyer et al. · IEEE Transactions on Robotics · 2011 · 411 citations
Decoding natural grasp types from human ECoG
Tobias Pistohl, Andreas Schulze‐Bonhage, Ad Aertsen et al. · NeuroImage · 2011 · 255 citations
Otmar Hilliges, David Kim, Shahram Izadi et al. · 2012 · 211 citations
1–5 of 56
220
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 220
84
Carnegie Mellon University
Pittsburgh, United States
5 h-index
12 publications
649 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
14 publications
1.2K citations

Italian Institute of Technology
Genoa, Italy
3 h-index
13 publications
2.7K citations

Tohoku University
Sendai, Japan
3 h-index
7 publications
108 citations
University of Lincoln
Lincoln, United Kingdom
2 h-index
2 publications
233 citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
38 citations
Stanford University
Stanford, United States
2 h-index
4 publications
513 citations
Jilin University
Changchun, China
2 h-index
2 publications
32 citations
1–8 of 84
6 publications · 812 citations
6
h-index
2 publications · 279 citations
2
h-index
IJRR · 2 publications · 212 citations
2
h-index
2 publications · 116 citations
2
h-index
2 publications · 31 citations
2
h-index
1–5