Instance Segmentation For Robotic Manipulation

Instance Segmentation for Robotic Manipulation is a computer vision task that identifies and delineates individual object instances in an image while providing pixel-level masks, specifically tailored to support robotic systems in perceiving and interacting with distinct objects in complex, cluttered environments.

10

Publications

523

Citations

46

Authors

14

Institutions

Publications per year

2017–2026

10

Authors

46

  1. KO
    Kei Okada

    The University of Tokyo, Japan

    2 publications · 53 citations

    2

    h-index

  2. MI
    Masayuki Inaba

    The University of Tokyo, Japan

    2 publications · 53 citations

    2

    h-index

  3. KW
    Kentaro Wada

    The University of Tokyo, Japan

    2 publications · 53 citations

    2

    h-index

  4. GN
    Gerhard Neumann

    Technische Universität Darmstadt, Germany

    1 publications · 14 citations

    1

    h-index

  5. AC
    Alessio Caporali

    University of Bologna, Italy

    1 publications · 46 citations

    1

    h-index

1–5 of 46

Venues

  1. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 2 publications · 81 citations

    2

    h-index

  2. Data in Brief

    1 publications · 40 citations

    1

    h-index

  3. IEEE Transactions on Industrial Informatics

    1 publications · 46 citations

    1

    h-index

  4. Advanced Engineering Informatics

    1 publications · 29 citations

    1

    h-index

  5. 1

    h-index

1–5