Multi-robot Search

Multi-Robot Search is a coordination framework in search robotics that enables a team of autonomous robots to collaboratively locate targets or objects of interest within a shared environment by distributing search tasks, integrating sensor data, and minimizing redundancy through inter-robot communication and spatial reasoning.

231

Publications

12.4K

Citations

659

Authors

249

Institutions

Publications per year

2017–2026

79

Authors

659

  1. ML
    Michael Lewis

    University of Pittsburgh, United States

    7 publications · 261 citations

    7

    h-index

  2. SS
    Sanjiv Singh

    Carnegie Mellon University, United States

    6 publications · 491 citations

    6

    h-index

  3. GA
    Geoffrey A. Hollinger

    Oregon State University, United States

    6 publications · 491 citations

    6

    h-index

  4. WB
    Wolfram Burgard

    University of Freiburg, Germany

    4 publications · 2.2K citations

    5

    h-index

  5. LM
    Lino Marques

    University of Coimbra, Portugal

    5 publications · 228 citations

    5

    h-index

1–5 of 659

Venues

  1. IEEE Robotics and Automation Letters

    4 publications · 184 citations

    5

    h-index

  2. Sensors

    5 publications · 204 citations

    5

    h-index

  3. Expert Systems with Applications

    3 publications · 119 citations

    4

    h-index

  4. IEEE Transactions on Robotics

    4 publications · 1.4K citations

    4

    h-index

  5. International Journal of Advanced Robotic Systems

    ARS · 4 publications · 100 citations

    4

    h-index

1–5