Grasp Force Synthesis

Grasp Force Synthesis is a computational framework that generates optimal force distributions across a robotic grip by integrating object properties, task requirements, and sensor feedback to achieve stable and efficient manipulation.

32

Publications

1.6K

Citations

90

Authors

49

Institutions

Publications per year

2017–2026

4

Authors

90

  1. PH
    P. Hunter Peckham

    Case Western Reserve University, United States

    2 publications · 73 citations

    2

    h-index

  2. AB
    Antonio Bicchi

    University of Pisa, Italy

    2 publications · 191 citations

    2

    h-index

  3. KL
    Kevin L. Kilgore

    Case Western Reserve University, United States

    2 publications · 73 citations

    2

    h-index

  4. MG
    Marco Gabiccini

    University of Pisa, Italy

    2 publications · 191 citations

    2

    h-index

  5. YC
    Yoshinori Chiba

    Tokyo University of Science, Japan

    1 publications · 19 citations

    1

    h-index

1–5 of 90

Venues

  1. Robotics and Autonomous Systems

    2 publications · 38 citations

    2

    h-index

  2. Mechanism and Machine Theory

    2 publications · 78 citations

    2

    h-index

  3. IEEE Transactions on Robotics and Automation

    2 publications · 398 citations

    2

    h-index

  4. Medical & Biological Engineering & Computing

    2 publications · 73 citations

    2

    h-index

  5. Intelligent Service Robotics

    1 publications · 15 citations

    1

    h-index

1–5