Whole-body Trajectory Optimization

Whole-Body Trajectory Optimization is a computational framework that generates time-parameterized sequences of whole-body motions by simultaneously optimizing kinematic and dynamic variables across all degrees of freedom in a robotic or biomechanical system to achieve task-level objectives while satisfying physical and environmental constraints.

50

Publications

2.6K

Citations

167

Authors

65

Institutions

Publications per year

2017–2026

28

Authors

167

  1. MH
    Marco Hutter

    ETH Zurich, Switzerland

    4 publications · 214 citations

    4

    h-index

  2. OS
    Olivier Stasse

    Centre National de la Recherche Scientifique, France

    3 publications · 277 citations

    3

    h-index

  3. EJ
    Edo Jelavić

    ETH Zurich, Switzerland

    3 publications · 145 citations

    3

    h-index

  4. SK
    Shivesh Kumar

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 42 citations

    2

    h-index

  5. EW
    Eric Whitman

    Carnegie Mellon University, United States

    2 publications · 261 citations

    2

    h-index

1–5 of 167

Venues

  1. IEEE Robotics and Automation Letters

    9 publications · 545 citations

    9

    h-index

  2. Mechanism and Machine Theory

    2 publications · 74 citations

    2

    h-index

  3. 2

    h-index

  4. Multibody System Dynamics

    1 publications · 28 citations

    1

    h-index

  5. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 18 citations

    1

    h-index

1–5