Adaptive Grasp Planning

Adaptive Grasp Planning is a computational framework within prehension planning that enables the dynamic adjustment of grasping strategies in response to variations in object properties, environmental constraints, or task requirements through real-time sensory feedback and learning mechanisms.

12

Publications

362

Citations

49

Authors

22

Institutions

Publications per year

2017–2026

5

Authors

49

  1. AB
    Aude Billard

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 170 citations

    2

    h-index

  2. AP
    António Paulo Moreira

    Universidade do Porto, Portugal

    1 publications · 31 citations

    1

    h-index

  3. MT
    Michael T. Leddy

    Yale University, United States

    1 publications · 20 citations

    1

    h-index

  4. ML
    Miao Li

    Sichuan University, China

    1 publications · 103 citations

    1

    h-index

  5. MC
    M. Chance Spalding

    University of Maryland, Baltimore, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 49

Venues

  1. Robotics and Autonomous Systems

    2 publications · 82 citations

    2

    h-index

  2. IEEE Transactions on Robotics

    1 publications · 103 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Experimental Child Psychology

    JECP · 1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5