Task-space Optimal Control

Task-Space Optimal Control is an optimal control framework that computes control policies to minimize a cost function defined directly in the task space—rather than the joint space—by explicitly governing the motion and forces of end-effectors in relation to desired task objectives and constraints.

12

Publications

491

Citations

32

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

32

  1. JP
    Jan Peters

    Technische Universität Darmstadt, Germany

    2 publications · 91 citations

    2

    h-index

  2. CC
    Chaoyang Chen

    Hunan University of Science and Technology, China

    1 publications · 19 citations

    1

    h-index

  3. AO
    Ashraf Omran

    Old Dominion University, United States

    1 publications · 23 citations

    1

    h-index

  4. TD
    Teng‐Fei Ding

    China University of Geosciences, China

    1 publications · 19 citations

    1

    h-index

  5. WM
    Wolfgang Merkt

    University of Edinburgh, United Kingdom

    1 publications · 12 citations

    1

    h-index

1–5 of 32

Venues

  1. Robotics and Autonomous Systems

    2 publications · 39 citations

    2

    h-index

  2. Computers & Electrical Engineering

    1 publications · 31 citations

    1

    h-index

  3. Nonlinear Dynamics

    1 publications · 19 citations

    1

    h-index

  4. TUbilio (Technical University of Darmstadt)

    Repository · 1 publications · 35 citations

    1

    h-index

  5. 1

    h-index

1–5