Autonomous Command Handling

Autonomous Command Handling is a computational framework within command handling systems that enables self-directed decision-making and execution of commands without human intervention, distinguished by its capacity to perceive, interpret, and respond to dynamic environments through integrated sensing, reasoning, and control mechanisms.

10

Publications

188

Citations

29

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

29

  1. ME
    Mohamed Elhoseny

    Mansoura University, Egypt

    1 publications · 15 citations

    1

    h-index

  2. DK
    David K. Deitsch

    Marshall Space Flight Center, United States

    1 publications · 13 citations

    1

    h-index

  3. MV
    Manuela Veloso

    Carnegie Mellon University, United States

    1 publications · 10 citations

    1

    h-index

  4. DU
    Dhanushika Umayanganie

    Sri Lanka Institute of Information Technology, Sri Lanka

    1 publications · 18 citations

    1

    h-index

  5. TE
    Tara Estlin

    Jet Propulsion Laboratory, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 29

Venues

  1. AIAA Scitech 2020 Forum

    1 publications · 13 citations

    1

    h-index

  2. IEEE Expert

    1 publications · 11 citations

    1

    h-index

  3. IEEE Control Systems

    1 publications · 40 citations

    1

    h-index

  4. NASA Technical Reports Server (NASA)

    Repository · 1 publications · 23 citations

    1

    h-index

  5. Sustainable Cities and Society

    1 publications · 15 citations

    1

    h-index

1–5