Multi-robot Perception

Multi-Robot Perception is a coordinated sensing and information-processing capability in which multiple robots collectively acquire, interpret, and fuse sensory data from shared or complementary viewpoints to construct a unified representation of environmental features, objects, or events beyond the scope of individual perception.

52

Publications

3.6K

Citations

198

Authors

85

Institutions

Publications per year

2017–2026

29

Authors

198

  1. LM
    Luís Merino

    Universidad Pablo de Olavide, Spain

    3 publications · 438 citations

    3

    h-index

  2. AO
    Anı́bal Ollero

    Universidad de Sevilla, Spain

    3 publications · 438 citations

    3

    h-index

  3. FC
    Fernando Caballero

    Universidad de Sevilla, Spain

    3 publications · 438 citations

    3

    h-index

  4. VK
    Victor Kathan Sarker

    University of Turku, Finland

    2 publications · 520 citations

    2

    h-index

  5. TW
    Tomi Westerlund

    University of Turku, Finland

    2 publications · 520 citations

    2

    h-index

1–5 of 198

Venues

  1. 3

    h-index

  2. IEEE Robotics & Automation Magazine

    1 publications · 112 citations

    2

    h-index

  3. IEEE Access

    2 publications · 520 citations

    2

    h-index

  4. IEEE Robotics and Automation Letters

    2 publications · 263 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

1–5