Sensor-based Grasp Planning

Sensor-Based Grasp Planning is a grasp planning approach that belongs to the class of adaptive grasping methods and is distinguished by its reliance on real-time sensory feedback to dynamically determine and refine grasp configurations based on the perceived physical properties and spatial characteristics of objects.

24

Publications

868

Citations

74

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

74

  1. VK
    Ville Kyrki

    Aalto University, Finland

    2 publications · 42 citations

    2

    h-index

  2. LA
    Luca Ascari

    Scuola Superiore Sant'Anna, Italy

    2 publications · 115 citations

    2

    h-index

  3. EN
    Ekaterina Nikandrova

    Aalto University, Finland

    2 publications · 42 citations

    2

    h-index

  4. JL
    Jonna Laaksonen

    Lappeenranta-Lahti University of Technology, Finland

    2 publications · 42 citations

    2

    h-index

  5. AM
    Antonio Morales

    Universitat Jaume I, Spain

    2 publications · 87 citations

    2

    h-index

1–5 of 74

Venues

  1. Robotics and Autonomous Systems

    4 publications · 156 citations

    4

    h-index

  2. IEEE Robotics & Automation Magazine

    1 publications · 18 citations

    1

    h-index

  3. 1

    h-index

  4. Mechatronics

    1 publications · 49 citations

    1

    h-index

  5. Brain Research Bulletin

    1 publications · 92 citations

    1

    h-index

1–5