Multi-robot Motion Tracking

Multi-Robot Motion Tracking is a computational framework that enables the simultaneous estimation and prediction of the dynamic positions and orientations of multiple interacting robots within a shared environment through the integration of distributed sensor data and cooperative localization algorithms.

20

Publications

541

Citations

54

Authors

38

Institutions

Publications per year

2017–2026

7

Authors

54

  1. CR
    Christopher Ray

    The University of Texas at Arlington, United States

    2 publications · 31 citations

    2

    h-index

  2. GL
    Gian Luca Mariottini

    The University of Texas at Arlington, United States

    2 publications · 31 citations

    2

    h-index

  3. FM
    Fabio Morbidi

    University of Siena, Italy

    2 publications · 31 citations

    2

    h-index

  4. MO
    Meiying Ou

    Chuzhou University, China

    1 publications · 21 citations

    1

    h-index

  5. CW
    Chaoli Wang

    University of Shanghai for Science and Technology, China

    1 publications · 21 citations

    1

    h-index

1–5 of 54

Venues

  1. Robotics and Autonomous Systems

    2 publications · 69 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Sensors

    1 publications · 20 citations

    1

    h-index

  5. MPG.PuRe (Max Planck Society)

    Repository · 1 publications · 49 citations

    1

    h-index

1–5