Grasp Localization

Grasp Localization is a computational method in robotic vision that identifies the spatial configuration and position of viable grasp points on an object, distinguished from related tasks by its focus on precisely localizing where a robotic end-effector can successfully acquire physical contact with an object.

190

Publications

12K

Citations

641

Authors

225

Institutions

Publications per year

2017–2026

68

Authors

641

  1. TA
    Tamim Asfour

    Karlsruhe Institute of Technology, Germany

    5 publications · 177 citations

    5

    h-index

  2. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    4 publications · 167 citations

    4

    h-index

  3. ÁP
    Ángel P. del Pobil

    Universitat Jaume I, Spain

    4 publications · 106 citations

    4

    h-index

  4. RW
    Robert W. Platt

    McGill University, Canada

    4 publications · 352 citations

    4

    h-index

  5. AM
    Antonio Morales

    Universitat Jaume I, Spain

    4 publications · 179 citations

    4

    h-index

1–5 of 641

Venues

  1. Experimental Brain Research

    10 publications · 2.4K citations

    10

    h-index

  2. Robotics and Autonomous Systems

    7 publications · 400 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 257 citations

    7

    h-index

  4. The International Journal of Robotics Research

    IJRR · 4 publications · 1.1K citations

    4

    h-index

  5. 3

    h-index

1–5