Bin Picking Perception

Bin Picking Perception is a specialized computer vision and robotic perception task that involves identifying, localizing, and segmenting individual objects within a cluttered bin environment to enable autonomous robotic grasping and manipulation in industrial automation and logistics applications.

11

Publications

415

Citations

31

Authors

12

Institutions

Publications per year

2017–2026

4

Authors

31

  1. KN
    Krishnanand N. Kaipa

    University of Maryland, College Park, United States

    4 publications · 75 citations

    4

    h-index

  2. SK
    Satyandra K. Gupta

    University of Maryland, College Park, United States

    4 publications · 75 citations

    4

    h-index

  3. JA
    Jeremy A. Marvel

    National Institute of Standards and Technology, United States

    3 publications · 65 citations

    3

    h-index

  4. NB
    Nithyananda B. Kumbla

    University of Maryland, College Park, United States

    3 publications · 65 citations

    3

    h-index

  5. SL
    Sukhan Lee

    Sungkyunkwan University, South Korea

    2 publications · 80 citations

    2

    h-index

1–5 of 31

Venues

  1. Journal of Intelligent & Robotic Systems

    1 publications · 42 citations

    1

    h-index

  2. Robotics and Autonomous Systems

    1 publications · 26 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5