Grasp Synthesis

Grasp Synthesis is a computational method within robot manipulation that generates optimal configurations for dexterous manipulation by determining the precise contact points and forces between a robotic hand and an object to achieve stable and task-appropriate grasps.

207

Publications

12.5K

Citations

486

Authors

200

Institutions

Publications per year

2017–2026

48

Authors

486

  1. RS
    Raúl Suárez

    Universitat Politècnica de Catalunya, Spain

    7 publications · 354 citations

    7

    h-index

  2. NS
    Nancy S. Pollard

    Carnegie Mellon University, United States

    7 publications · 501 citations

    7

    h-index

  3. RA
    Roderic A. Grupen

    University of Massachusetts Amherst, United States

    7 publications · 230 citations

    7

    h-index

  4. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    6 publications · 217 citations

    6

    h-index

  5. MA
    Máximo A. Roa

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

    6 publications · 295 citations

    6

    h-index

1–5 of 486

Venues

  1. Robotics and Autonomous Systems

    14 publications · 863 citations

    13

    h-index

  2. The International Journal of Robotics Research

    IJRR · 10 publications · 2.9K citations

    10

    h-index

  3. IEEE Transactions on Robotics

    8 publications · 472 citations

    8

    h-index

  4. IEEE Robotics and Automation Letters

    8 publications · 350 citations

    7

    h-index

  5. IEEE Transactions on Robotics and Automation

    5 publications · 697 citations

    5

    h-index

1–5