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

Authors

220

  1. WC
    Wenbin Chen

    Huazhong University of Science and Technology, China

    3 publications · 277 citations

    3

    h-index

  2. CX
    Caihua Xiong

    Huazhong University of Science and Technology, China

    3 publications · 277 citations

    3

    h-index

  3. NS
    Nancy S. Pollard

    Carnegie Mellon University, United States

    2 publications · 70 citations

    2

    h-index

  4. MG
    Michael Girard

    The Ohio State University, United States

    2 publications · 344 citations

    2

    h-index

  5. OH
    Otmar Hilliges

    ETH Zurich, Switzerland

    1 publications · 211 citations

    2

    h-index

1–5 of 220

Venues

  1. IEEE Transactions on Robotics

    6 publications · 812 citations

    6

    h-index

  2. IEEE Transactions on Biomedical Engineering

    2 publications · 279 citations

    2

    h-index

  3. The International Journal of Robotics Research

    IJRR · 2 publications · 212 citations

    2

    h-index

  4. IEEE/ASME Transactions on Mechatronics

    2 publications · 116 citations

    2

    h-index

  5. Control Engineering Practice

    2 publications · 31 citations

    2

    h-index

1–5