Multi-robot Sensing

Multi-Robot Sensing is a distributed sensing framework in which a coordinated team of mobile robotic agents collaboratively gathers, fuses, and interprets environmental data to achieve spatially and temporally enhanced perception beyond the capabilities of individual agents.

46

Publications

2.9K

Citations

225

Authors

86

Institutions

Publications per year

2017–2026

18

Variants

Distributed Robotic Sensing

Authors

225

  1. IR
    Ioannis Rekleitis

    McGill University, Canada

    6 publications · 361 citations

    6

    h-index

  2. GD
    Gregory Dudek

    McGill University, Canada

    4 publications · 306 citations

    4

    h-index

  3. AQ
    Alberto Quattrini Li

    University of South Carolina, United States

    3 publications · 68 citations

    3

    h-index

  4. EM
    Evangelos Milios

    Dalhousie University, Canada

    3 publications · 293 citations

    3

    h-index

  5. WL
    Wenhao Luo

    Carnegie Mellon University, United States

    2 publications · 120 citations

    2

    h-index

1–5 of 225

Venues

  1. IEEE Sensors Journal

    2 publications · 466 citations

    2

    h-index

  2. Sensors

    2 publications · 139 citations

    2

    h-index

  3. Expert Systems with Applications

    1 publications · 90 citations

    1

    h-index

  4. Robotics

    1 publications · 26 citations

    1

    h-index

  5. 2006 SICE-ICASE International Joint Conference

    Conference · 1 publications · 14 citations

    1

    h-index

1–5