Adaptive Inverse Dynamics

Adaptive Inverse Dynamics is an inverse dynamics method that incorporates online parameter estimation and adaptive control techniques to compensate for uncertainties and time-varying properties in robotic or mechanical systems, enabling accurate torque prediction without prior knowledge of system parameters.

68

Publications

2.8K

Citations

167

Authors

98

Institutions

Publications per year

2017–2026

10

Authors

167

  1. GT
    Gang Tao

    University of Virginia, United States

    4 publications · 121 citations

    4

    h-index

  2. MW
    Michael Walker

    University of Michigan, United States

    3 publications · 155 citations

    3

    h-index

  3. EL
    Eugene Lavretsky

    Boeing (United States), United States

    3 publications · 74 citations

    3

    h-index

  4. AJ
    Auke Jan Ijspeert

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 98 citations

    3

    h-index

  5. NH
    Naira Hovakimyan

    University of Illinois Urbana-Champaign, United States

    3 publications · 74 citations

    3

    h-index

1–5 of 167

Venues

  1. IEEE Transactions on Automatic Control

    5 publications · 275 citations

    5

    h-index

  2. Automatica

    4 publications · 229 citations

    4

    h-index

  3. IEEE Transactions on Robotics and Automation

    3 publications · 295 citations

    3

    h-index

  4. International Journal of Control

    3 publications · 139 citations

    3

    h-index

  5. 2

    h-index

1–5