Model Predictive Footstep Planning

Model Predictive Footstep Planning is a footstep planning method that belongs to the class of model predictive control techniques and is distinguished by its use of dynamic system models to iteratively optimize future footstep sequences over a receding horizon while respecting physical and kinematic constraints.

6

Publications

172

Citations

18

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

18

  1. SX
    Songyan Xin

    University of Edinburgh, United Kingdom

    2 publications · 77 citations

    2

    h-index

  2. MJ
    Mathew Jose Pollayil

    Piaggio (Italy), Italy

    1 publications · 41 citations

    1

    h-index

  3. OC
    Oğuzhan Cebe

    University of Edinburgh, United Kingdom

    1 publications · 41 citations

    1

    h-index

  4. SP
    Soha Pouya

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 37 citations

    1

    h-index

  5. AH
    Arne-Christoph Hildebrandt

    Technical University of Munich, Germany

    1 publications · 16 citations

    1

    h-index

1–5 of 18

Venues

  1. IEEE Robotics and Automation Letters

    1 publications · 41 citations

    1

    h-index

  2. MPG.PuRe (Max Planck Society)

    Repository · 1 publications · 24 citations

    1

    h-index

1–2