Sensor-based Grasp Force Estimation

Sensor-Based Grasp Force Estimation is a method in grasp force control that uses physical sensors to measure and infer the applied gripping force, distinguishing itself by relying on direct sensory feedback from tactile, force, or proprioceptive sensors integrated into robotic or prosthetic hands.

39

Publications

1.3K

Citations

147

Authors

61

Institutions

Publications per year

2017–2026

16

Authors

147

  1. BB
    Benoni B. Edin

    Umeå University, Sweden

    2 publications · 106 citations

    2

    h-index

  2. SS
    Stefano Scheggi

    University of Siena, Italy

    1 publications · 17 citations

    1

    h-index

  3. AZ
    Anton Zupan

    Univerzitetni Rehabilitacijski Inštitut, Slovenia

    1 publications · 82 citations

    1

    h-index

  4. JK
    Jung Kim

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 24 citations

    1

    h-index

  5. JK
    Joowan Kim

    Kongju National University, South Korea

    1 publications · 25 citations

    1

    h-index

1–5 of 147

Venues

  1. Biomedical Signal Processing and Control

    1 publications · 16 citations

    2

    h-index

  2. Medical & Biological Engineering & Computing

    2 publications · 53 citations

    2

    h-index

  3. Sensors

    2 publications · 70 citations

    2

    h-index

  4. Measurement

    1 publications · 15 citations

    2

    h-index

  5. Journal of System Design and Dynamics

    1 publications · 10 citations

    1

    h-index

1–5