Mass Matrix Modeling

Mass Matrix Modeling is a computational framework within joint space dynamics that characterizes the inertial properties of a multi-body system by constructing a symmetric, positive-definite matrix that maps generalized accelerations to generalized forces, distinguishing itself through its explicit dependence on the system's configuration and its role in formulating equations of motion for robotic or mechanical systems.

96

Publications

4.2K

Citations

210

Authors

109

Institutions

Publications per year

2017–2026

13

Authors

210

  1. AJ
    Abhinandan Jain

    Jet Propulsion Laboratory, United States

    5 publications · 277 citations

    5

    h-index

  2. GR
    G. Rodríguez

    University of Cagliari, Italy

    5 publications · 174 citations

    5

    h-index

  3. KK
    Kenneth Kreutz-Delgado

    University of California San Diego, United States

    3 publications · 125 citations

    3

    h-index

  4. MT
    Marco Tarabini

    Politecnico di Milano, Italy

    2 publications · 23 citations

    2

    h-index

  5. MA
    Martin Arnold

    Martin Luther University Halle-Wittenberg, Germany

    2 publications · 58 citations

    2

    h-index

1–5 of 210

Venues

  1. 8

    h-index

  2. 4

    h-index

  3. AIAA Journal

    4 publications · 75 citations

    4

    h-index

  4. Journal of Guidance Control and Dynamics

    3 publications · 230 citations

    3

    h-index

  5. SIAM Journal on Scientific Computing

    3 publications · 129 citations

    3

    h-index

1–5