Multi-object Manipulation

Multi-Object Manipulation is a manipulation learning framework that enables autonomous agents to sequentially or simultaneously interact with multiple objects in an environment, distinguished by its focus on handling object interactions, dependencies, and task-level coordination beyond single-object manipulation.

41

Publications

2.6K

Citations

139

Authors

59

Institutions

Publications per year

2017–2026

25

Authors

139

  1. TC
    Tianze Chen

    University of South Florida, United States

    3 publications · 55 citations

    3

    h-index

  2. LD
    Luc De Raedt

    KU Leuven, Belgium

    3 publications · 159 citations

    3

    h-index

  3. BM
    Bogdan Moldovan

    KU Leuven, Belgium

    3 publications · 159 citations

    3

    h-index

  4. JS
    José Santos-Victor

    Instituto Superior Técnico, Portugal

    2 publications · 129 citations

    2

    h-index

  5. TD
    Trevor Darrell

    University of California, Berkeley, United States

    2 publications · 84 citations

    2

    h-index

1–5 of 139

Venues

  1. IEEE Robotics and Automation Letters

    4 publications · 536 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 59 citations

    4

    h-index

  3. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 2 publications · 52 citations

    2

    h-index

  4. The International Journal of Robotics Research

    IJRR · 2 publications · 52 citations

    2

    h-index

  5. Society of Instrument and Control Engineers of Japan

    Conference · 1 publications · 12 citations

    1

    h-index

1–5