Grasp Force Optimization

Grasp Force Optimization is a computational method in robotic manipulation that determines the minimal and stable distribution of forces applied by a robotic gripper to securely hold an object while minimizing energy expenditure and avoiding object damage.

47

Publications

2K

Citations

97

Authors

55

Institutions

Publications per year

2017–2026

5

Authors

97

  1. MB
    Martin Buss

    Technical University of Munich, Germany

    6 publications · 436 citations

    6

    h-index

  2. JM
    J.B. Moore

    Australian National University, Australia

    4 publications · 389 citations

    4

    h-index

  3. BS
    Bruno Siciliano

    University of Naples Federico II, Italy

    3 publications · 58 citations

    3

    h-index

  4. LV
    Luigi Villani

    University of Naples Federico II, Italy

    3 publications · 58 citations

    3

    h-index

  5. VL
    Vincenzo Lippiello

    University of Naples Federico II, Italy

    3 publications · 58 citations

    3

    h-index

1–5 of 97

Venues

  1. IEEE Transactions on Robotics and Automation

    3 publications · 628 citations

    3

    h-index

  2. Robotics and Autonomous Systems

    3 publications · 47 citations

    3

    h-index

  3. IEEE Transactions on Robotics

    2 publications · 60 citations

    2

    h-index

  4. International Journal of Industrial Ergonomics

    2 publications · 271 citations

    2

    h-index

  5. Robotica

    2 publications · 51 citations

    2

    h-index

1–5