Task-level Control

Task-Level Control is a supervisory control paradigm within robot control architecture that specifies high-level objectives and constraints, distinguishing itself by abstracting system operations into discrete tasks or goal-directed behaviors without detailing low-level actuation or sensor processing.

183

Publications

10.8K

Citations

496

Authors

198

Institutions

Publications per year

2017–2026

29

Authors

496

  1. OK
    Oussama Khatib

    Stanford University, United States

    6 publications · 198 citations

    6

    h-index

  2. VD
    Vincent De Sapio

    Stanford University, United States

    5 publications · 178 citations

    5

    h-index

  3. BM
    B.J. McCarragher

    Australian National University, Australia

    4 publications · 129 citations

    4

    h-index

  4. CH
    Christopher-Eyk Hrabia

    Technische Universität Berlin, Germany

    3 publications · 36 citations

    3

    h-index

  5. NJ
    Noah J. Cowan

    Johns Hopkins University, United States

    3 publications · 269 citations

    3

    h-index

1–5 of 496

Venues

  1. PLoS ONE

    4 publications · 402 citations

    4

    h-index

  2. Brain

    3 publications · 670 citations

    3

    h-index

  3. PLoS Computational Biology

    3 publications · 128 citations

    3

    h-index

  4. IEEE Transactions on Human-Machine Systems

    2 publications · 51 citations

    2

    h-index

  5. Memory & Cognition

    2 publications · 247 citations

    2

    h-index

1–5