Sensor-based Grasp Assessment

Sensor-Based Grasp Assessment is a grasp evaluation method that relies on empirical data from tactile, force, or proprioceptive sensors to determine the stability and quality of a robotic grasp, distinguishing it from model-based or vision-based approaches by its dependence on real-time physical feedback.

30

Publications

888

Citations

109

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

109

  1. MY
    Mike Y. Chen

    National Taiwan University, Taiwan

    3 publications · 45 citations

    3

    h-index

  2. BS
    Brayan S. Zapata-Impata

    University of Alicante, Spain

    3 publications · 38 citations

    3

    h-index

  3. FH
    Fang-I Hsiao

    National Taiwan University, Taiwan

    3 publications · 45 citations

    3

    h-index

  4. MM
    Marko Marković

    Universitätsmedizin Göttingen, Germany

    3 publications · 172 citations

    3

    h-index

  5. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    3 publications · 249 citations

    3

    h-index

1–5 of 109

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  2. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 18 citations

    1

    h-index

  3. Sensors

    1 publications · 14 citations

    1

    h-index

  4. IEEE Transactions on Robotics

    1 publications · 189 citations

    1

    h-index

  5. Procedia Manufacturing

    1 publications · 20 citations

    1

    h-index

1–5