Autonomous Environmental Sensing

Autonomous Environmental Sensing is a methodological framework within environmental monitoring robotics that enables robotic systems to independently acquire, process, and interpret environmental data without human intervention, distinguished by its integration of on-board decision-making, adaptive sampling strategies, and real-time sensor fusion for sustained observational autonomy in dynamic natural environments.

79

Publications

4.2K

Citations

358

Authors

130

Institutions

Publications per year

2017–2026

23

Authors

358

  1. DD
    Dermot Diamond

    Dublin City University, Ireland

    4 publications · 217 citations

    4

    h-index

  2. MR
    Maurizio Rossi

    University of Trento, Italy

    3 publications · 211 citations

    3

    h-index

  3. DB
    Davide Brunelli

    University of Trento, Italy

    3 publications · 211 citations

    3

    h-index

  4. MA
    Maxim A. Batalin

    University of California, Los Angeles, United States

    3 publications · 49 citations

    3

    h-index

  5. MS
    Michael Stealey

    University of California, Los Angeles, United States

    3 publications · 49 citations

    3

    h-index

1–5 of 358

Venues

  1. Journal of Field Robotics

    JFR · 3 publications · 462 citations

    3

    h-index

  2. Sensors

    4 publications · 77 citations

    3

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Research Portal (Queen's University Belfast)

    Repository · 2 publications · 50 citations

    2

    h-index

1–5