Force-based Grasp Planning

Force-Based Grasp Planning is a computational method in robotic manipulation that determines optimal contact forces and positions for stable grasping by explicitly accounting for object dynamics, friction constraints, and force distribution, distinguishing it from geometry- or vision-based approaches by its reliance on force closure criteria and mechanical equilibrium analysis.

27

Publications

1.6K

Citations

95

Authors

40

Institutions

Publications per year

2017–2026

6

Authors

95

  1. GC
    Giuseppe Casalino

    Polytechnic University of Bari, Italy

    2 publications · 30 citations

    2

    h-index

  2. YD
    Yu Du

    Dalian University of Technology, China

    1 publications · 15 citations

    1

    h-index

  3. SP
    Shahram Payandeh

    Simon Fraser University, Canada

    1 publications · 17 citations

    1

    h-index

  4. BT
    Bo Tao

    Wuhan University of Science and Technology, China

    1 publications · 76 citations

    1

    h-index

  5. LC
    Lipeng Chen

    Tencent (China), China

    1 publications · 16 citations

    1

    h-index

1–5 of 95

Venues

  1. Robotics and Autonomous Systems

    2 publications · 46 citations

    2

    h-index

  2. The International Journal of Robotics Research

    IJRR · 2 publications · 32 citations

    2

    h-index

  3. Journal of Bionic Engineering

    1 publications · 17 citations

    1

    h-index

  4. IEEE/ASME Transactions on Mechatronics

    1 publications · 110 citations

    1

    h-index

  5. Journal of Intelligent & Robotic Systems

    1 publications · 30 citations

    1

    h-index

1–5