Autonomous Underground Navigation

Autonomous Underground Navigation is a robotic navigation framework that enables self-guided movement and decision-making in subterranean environments without human intervention, distinguished from other navigation systems by its operation in GPS-denied, structurally complex, and sensor-degraded underground conditions.

26

Publications

1.1K

Citations

127

Authors

28

Institutions

Publications per year

2017–2026

14

Authors

127

  1. KA
    Kostas Alexis

    University of Nevada, Reno, United States

    4 publications · 236 citations

    4

    h-index

  2. PC
    Peter Corke

    Queensland University of Technology, Australia

    4 publications · 269 citations

    4

    h-index

  3. JR
    Jonathan Roberts

    Queensland University of Technology, Australia

    4 publications · 269 citations

    4

    h-index

  4. SK
    Shehryar Khattak

    University of Nevada, Reno, United States

    3 publications · 134 citations

    3

    h-index

  5. FM
    Frank Mascarich

    University of Nevada, Reno, United States

    3 publications · 134 citations

    3

    h-index

1–5 of 127

Venues

  1. Field Robotics

    3 publications · 111 citations

    3

    h-index

  2. Robotics and Autonomous Systems

    2 publications · 127 citations

    2

    h-index

  3. Measurement

    1 publications · 46 citations

    1

    h-index

  4. Information Sciences

    1 publications · 80 citations

    1

    h-index

  5. Computers & Electrical Engineering

    1 publications · 16 citations

    1

    h-index

1–5