Task-space Redundancy Resolution

Task-Space Redundancy Resolution is a computational method in robotics and control theory that resolves the non-uniqueness of joint-space solutions for a given task-space objective by systematically selecting optimal or feasible configurations according to a specified performance criterion.

58

Publications

3.1K

Citations

143

Authors

83

Institutions

Publications per year

2017–2026

15

Authors

143

  1. JJ
    Jochen J. Steil

    Bielefeld University, Germany

    4 publications · 137 citations

    4

    h-index

  2. SW
    Sebastian Wrede

    Bielefeld University, Germany

    3 publications · 124 citations

    3

    h-index

  3. CE
    Christian Emmerich

    Bielefeld University, Germany

    3 publications · 124 citations

    3

    h-index

  4. TK
    Tarun K. Podder

    Thomas Jefferson University, United States

    3 publications · 87 citations

    3

    h-index

  5. AN
    Arne Nordmann

    Bielefeld University, Germany

    3 publications · 124 citations

    3

    h-index

1–5 of 143

Venues

  1. IEEE Transactions on Robotics

    4 publications · 527 citations

    4

    h-index

  2. Advanced Robotics

    2 publications · 145 citations

    2

    h-index

  3. Robotica

    2 publications · 61 citations

    2

    h-index

  4. IEEE/ASME Transactions on Mechatronics

    2 publications · 139 citations

    2

    h-index

  5. Nonlinear Dynamics

    2 publications · 65 citations

    2

    h-index

1–5