Articulated Body Algorithms

Articulated Body Algorithms is a computational method in rigid body dynamics that recursively formulates the equations of motion for tree-structured multibody systems by propagating articulated inertias and effective forces from leaves to root and back, enabling efficient O(n) forward and inverse dynamics calculations.

57

Publications

4.6K

Citations

130

Authors

72

Institutions

Publications per year

2017–2026

7

Variants

Aba

Authors

130

  1. SR
    Stéphane Redon

    Institut national de recherche en sciences et technologies du numérique, France

    7 publications · 409 citations

    7

    h-index

  2. MC
    Ming C. Lin

    University of North Carolina at Chapel Hill, United States

    6 publications · 384 citations

    6

    h-index

  3. YJ
    Young J. Kim

    Ewha Womans University, South Korea

    4 publications · 282 citations

    4

    h-index

  4. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    4 publications · 282 citations

    4

    h-index

  5. UM
    Uri M. Ascher

    University of British Columbia, Canada

    3 publications · 82 citations

    3

    h-index

1–5 of 130

Venues

  1. The International Journal of Robotics Research

    IJRR · 5 publications · 987 citations

    5

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 70 citations

    3

    h-index

  3. IEEE Transactions on Robotics and Automation

    2 publications · 91 citations

    2

    h-index

  4. International Journal of Computer Vision

    2 publications · 477 citations

    2

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 34 citations

    1

    h-index

1–5