Forward Dynamics Modeling

Forward Dynamics Modeling is a computational framework within model-based robot learning that predicts a system's future state given its current state and applied actions, distinguishing itself by explicitly encoding the causal physical relationships governing robotic motion under environmental interactions.

152

Publications

5.9K

Citations

351

Authors

166

Institutions

Publications per year

2017–2026

36

Authors

351

  1. KY
    Katsu Yamane

    The University of Tokyo, Japan

    5 publications · 148 citations

    5

    h-index

  2. GR
    G. Rodríguez

    University of Cagliari, Italy

    5 publications · 106 citations

    5

    h-index

  3. RF
    Roy Featherstone

    Australian National University, Australia

    4 publications · 415 citations

    4

    h-index

  4. JM
    John McPhee

    University of Waterloo, Canada

    4 publications · 142 citations

    4

    h-index

  5. YN
    Yoshihiko Nakamura

    The University of Tokyo, Japan

    4 publications · 124 citations

    4

    h-index

1–5 of 351

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 306 citations

    9

    h-index

  2. Multibody System Dynamics

    6 publications · 245 citations

    6

    h-index

  3. The International Journal of Robotics Research

    IJRR · 4 publications · 410 citations

    4

    h-index

  4. 4

    h-index

  5. Computer Methods in Biomechanics & Biomedical Engineering

    CMBBE · 4 publications · 95 citations

    4

    h-index

1–5