Exploration Frontier Detection

Exploration Frontier Detection is a methodological process in multi-robot exploration that identifies and delineates the boundary between known and unexplored regions in an environment to guide coordinated robot navigation toward areas with maximal informational gain.

26

Publications

2.7K

Citations

82

Authors

32

Institutions

Publications per year

2017–2026

16

Authors

82

  1. GA
    Geoffrey A. Hollinger

    Oregon State University, United States

    2 publications · 55 citations

    2

    h-index

  2. PS
    P.G.C.N. Senarathne

    Nanyang Technological University, Singapore

    2 publications · 59 citations

    2

    h-index

  3. MK
    Matan Keidar

    Bar-Ilan University, Israel

    2 publications · 181 citations

    2

    h-index

  4. BS
    Bailu Si

    Shenyang Institute of Automation, China

    2 publications · 32 citations

    2

    h-index

  5. ZF
    Zheng Fang

    Northeastern University, China

    2 publications · 32 citations

    2

    h-index

1–5 of 82

Venues

  1. IEEE Robotics and Automation Letters

    3 publications · 114 citations

    3

    h-index

  2. Robotics and Autonomous Systems

    1 publications · 30 citations

    1

    h-index

  3. Frontiers in Robotics and AI

    1 publications · 30 citations

    1

    h-index

  4. UTS ePRESS (University of Technology Sydney)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Energy

    1 publications · 16 citations

    1

    h-index

1–5