Bin Picking

Bin Picking is a robotic manipulation task in which a robot autonomously identifies, localizes, and grasps individual objects from a disordered collection contained within a bin, typically using machine vision to address challenges posed by occlusion, clutter, and variable object poses.

138

Publications

5K

Citations

471

Authors

147

Institutions

Publications per year

2017–2026

75

Authors

471

  1. YD
    Yukiyasu Domae

    National Institute of Advanced Industrial Science and Technology, Japan

    7 publications · 358 citations

    7

    h-index

  2. KI
    Katsushi Ikeuchi

    The University of Tokyo, Japan

    6 publications · 478 citations

    6

    h-index

  3. WW
    Weiwei Wan

    The University of Osaka, Japan

    6 publications · 161 citations

    6

    h-index

  4. KH
    Kensuke Harada

    National Institute of Advanced Industrial Science and Technology, Japan

    6 publications · 198 citations

    6

    h-index

  5. FS
    Felix Spenrath

    Fraunhofer Institute for Manufacturing Engineering and Automation, Germany

    5 publications · 92 citations

    5

    h-index

1–5 of 471

Venues

  1. IEEE Robotics and Automation Letters

    7 publications · 255 citations

    7

    h-index

  2. Sensors

    6 publications · 215 citations

    6

    h-index

  3. 3

    h-index

  4. Procedia CIRP

    3 publications · 68 citations

    3

    h-index

  5. The International Journal of Robotics Research

    IJRR · 3 publications · 314 citations

    3

    h-index

1–5