Multi-robot State Estimation

Multi-Robot State Estimation is a computational framework within multi-robot systems that enables the collective determination of each robot's pose and motion variables in a shared coordinate frame through the integration of sensor measurements and communication-based data exchange among robot team members.

68

Publications

2.8K

Citations

194

Authors

81

Institutions

Publications per year

2017–2026

26

Authors

194

  1. SI
    Stergios I. Roumeliotis

    University of Minnesota, United States

    4 publications · 180 citations

    4

    h-index

  2. MB
    Michael Beetz

    Technical University of Munich, Germany

    3 publications · 193 citations

    3

    h-index

  3. PZ
    Pengxiang Zhu

    University of California, Riverside, United States

    3 publications · 53 citations

    3

    h-index

  4. BC
    Benjamin Charrow

    Carnegie Mellon University, United States

    3 publications · 139 citations

    3

    h-index

  5. PU
    Pedro U. Lima

    Instituto Superior Técnico, Portugal

    3 publications · 119 citations

    3

    h-index

1–5 of 194

Venues

  1. IEEE Robotics and Automation Letters

    7 publications · 370 citations

    7

    h-index

  2. Autonomous Robots

    4 publications · 258 citations

    4

    h-index

  3. The International Journal of Robotics Research

    IJRR · 3 publications · 226 citations

    3

    h-index

  4. 2

    h-index

  5. Artificial Life and Robotics

    2 publications · 124 citations

    2

    h-index

1–5