Grasp Quality Evaluation

Grasp Quality Evaluation is a computational metric that assesses the effectiveness and robustness of a planned grasp configuration in prehension tasks by quantifying its stability, feasibility, and resistance to external perturbations within a given object-environment context.

203

Publications

13K

Citations

522

Authors

213

Institutions

Publications per year

2017–2026

57

Authors

522

  1. JM
    Jeffrey Mahler

    University of California, Berkeley, United States

    10 publications · 2.1K citations

    10

    h-index

  2. KG
    Ken Goldberg

    University of California, Berkeley, United States

    9 publications · 2K citations

    9

    h-index

  3. AM
    Antonio Morales

    Universitat Jaume I, Spain

    8 publications · 355 citations

    8

    h-index

  4. MA
    Máximo A. Roa

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    7 publications · 579 citations

    7

    h-index

  5. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    6 publications · 250 citations

    6

    h-index

1–5 of 522

Venues

  1. IEEE Robotics and Automation Letters

    13 publications · 539 citations

    12

    h-index

  2. Experimental Brain Research

    10 publications · 277 citations

    10

    h-index

  3. IEEE Transactions on Robotics

    6 publications · 292 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 378 citations

    5

    h-index

  5. Robotics and Autonomous Systems

    5 publications · 170 citations

    5

    h-index

1–5