Dynamics Modeling

Dynamics Modeling is a mathematical framework that characterizes the motion and forces of medical robotic systems by formulating the underlying physical laws governing their time-varying behavior, distinguishing it from kinematic or geometric representations through its incorporation of mass, inertia, friction, and actuation dynamics.

275

Publications

18.7K

Citations

810

Authors

369

Institutions

Publications per year

2017–2026

91

Authors

810

  1. SA
    S. Ali A. Moosavian

    K.N.Toosi University of Technology, Iran

    4 publications · 143 citations

    4

    h-index

  2. CP
    Charles P. Neuman

    Carnegie Mellon University, United States

    3 publications · 187 citations

    3

    h-index

  3. SG
    Shuxiang Guo

    Kagawa University, Japan

    3 publications · 55 citations

    3

    h-index

  4. VD
    Vassilios D. Tourassis

    Democritus University of Thrace, Greece

    3 publications · 143 citations

    3

    h-index

  5. MT
    Matthew T. Mason

    Carnegie Mellon University, United States

    2 publications · 116 citations

    2

    h-index

1–5 of 810

Venues

  1. Robotica

    6 publications · 134 citations

    6

    h-index

  2. IEEE Access

    4 publications · 124 citations

    4

    h-index

  3. elib (German Aerospace Center)

    Repository · 3 publications · 35 citations

    3

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 59 citations

    3

    h-index

  5. Sensors

    3 publications · 51 citations

    3

    h-index

1–5