Autonomy Control Systems

Autonomy Control Systems is a computational framework that enables an autonomous underwater vehicle to perceive its environment, make decisions, and execute navigation and mission-oriented tasks without real-time human intervention, distinguishing it from conventional remote-controlled or pre-programmed systems by its capacity for adaptive, goal-driven behavior in uncertain underwater environments.

31

Publications

886

Citations

139

Authors

63

Institutions

Publications per year

2017–2026

13

Authors

139

  1. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    3 publications · 85 citations

    3

    h-index

  2. JR
    John R. Moisan

    Wallops Flight Facility, United States

    2 publications · 36 citations

    2

    h-index

  3. KM
    Kevin M. Passino

    The Ohio State University, United States

    2 publications · 148 citations

    2

    h-index

  4. SK
    Sertaç Karaman

    Massachusetts Institute of Technology, United States

    2 publications · 69 citations

    2

    h-index

  5. SW
    S.J. Wang

    Jet Propulsion Laboratory, United States

    2 publications · 148 citations

    2

    h-index

1–5 of 139

Venues

  1. 2

    h-index

  2. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. AIAA SCITECH 2022 Forum

    Conference · 1 publications · 13 citations

    1

    h-index

  4. Frontiers in Neurorobotics

    1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5