Infrastructure-free Localization

Infrastructure-Free Localization is a localization paradigm within swarm robotics that enables agents to determine their positions without reliance on pre-installed external infrastructure, distinguishing itself from traditional localization methods by utilizing only onboard sensors and peer-to-peer inter-robot communication to achieve spatial awareness.

36

Publications

2.4K

Citations

140

Authors

71

Institutions

Publications per year

2017–2026

20

Authors

140

  1. HY
    Hirozumi Yamaguchi

    The University of Osaka, Japan

    3 publications · 100 citations

    3

    h-index

  2. ZW
    Zhenyu Wu

    Nanyang Technological University, Singapore

    2 publications · 49 citations

    2

    h-index

  3. TG
    Tao Gu

    RMIT University, Australia

    2 publications · 99 citations

    2

    h-index

  4. HL
    Haiyong Luo

    Beijing University of Posts and Telecommunications, China

    2 publications · 41 citations

    2

    h-index

  5. MM
    Maija Mäkelä

    Finnish Geospatial Research Institute, Finland

    2 publications · 63 citations

    2

    h-index

1–5 of 140

Venues

  1. Sensors

    3 publications · 98 citations

    3

    h-index

  2. IEEE Sensors Journal

    3 publications · 103 citations

    3

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 213 citations

    2

    h-index

  4. Journal of Sensors

    1 publications · 24 citations

    1

    h-index

  5. IEEE Transactions on Cybernetics

    1 publications · 273 citations

    1

    h-index

1–5