Adaptive Hand Control

Adaptive Hand Control is a control framework in robotics that autonomously adjusts grasp parameters in real time through sensory feedback and learning algorithms to maintain stability and dexterity across varying object properties and environmental conditions.

74

Publications

3.1K

Citations

239

Authors

88

Institutions

Publications per year

2017–2026

23

Authors

239

  1. WZ
    Wenzeng Zhang

    Tsinghua University, China

    11 publications · 267 citations

    10

    h-index

  2. ML
    Minas Liarokapis

    University of Auckland, New Zealand

    5 publications · 154 citations

    5

    h-index

  3. ZS
    Zhenguo Sun

    Tsinghua University, China

    5 publications · 136 citations

    5

    h-index

  4. AM
    Aaron M. Dollar

    Yale University, United States

    4 publications · 127 citations

    4

    h-index

  5. LG
    Lucas Gerez

    University of Auckland, New Zealand

    3 publications · 98 citations

    3

    h-index

1–5 of 239

Venues

  1. IEEE Robotics and Automation Letters

    5 publications · 200 citations

    5

    h-index

  2. International Journal of Humanoid Robotics

    3 publications · 84 citations

    3

    h-index

  3. Robotics and Autonomous Systems

    2 publications · 124 citations

    2

    h-index

  4. 2

    h-index

  5. Mechanism and Machine Theory

    2 publications · 337 citations

    2

    h-index

1–5