Robust Inverse Dynamics

Robust Inverse Dynamics is an inverse dynamics method that explicitly accounts for model uncertainties and external disturbances to ensure reliable computation of required joint torques under varying or imperfectly known system conditions.

70

Publications

3.6K

Citations

177

Authors

98

Institutions

Publications per year

2017–2026

14

Authors

177

  1. SS
    Stefan Schaal

    University of Southern California, United States

    4 publications · 247 citations

    4

    h-index

  2. AF
    Antonella Ferrara

    University of Pavia, Italy

    3 publications · 293 citations

    3

    h-index

  3. LR
    Ludovic Righetti

    Max Planck Institute for Intelligent Systems, Germany

    3 publications · 209 citations

    3

    h-index

  4. BW
    Bong Wie

    Arizona State University, United States

    2 publications · 272 citations

    2

    h-index

  5. PD
    Panagiotis D. Christofides

    University of California, Los Angeles, United States

    2 publications · 70 citations

    2

    h-index

1–5 of 177

Venues

  1. Journal of Guidance Control and Dynamics

    5 publications · 531 citations

    5

    h-index

  2. International Journal of Control

    3 publications · 142 citations

    3

    h-index

  3. 3

    h-index

  4. Control Engineering Practice

    2 publications · 42 citations

    2

    h-index

  5. 2

    h-index

1–5