Jacobian Matrix Analysis

Jacobian Matrix Analysis is a mathematical framework used in robot kinematics to systematically relate the velocities of a robot’s end-effector to the velocities of its joint variables, distinguished by its reliance on the Jacobian matrix to analyze mobility, singularity, and motion accuracy across serial, parallel, continuum, and hybrid manipulator systems in medical, underwater, and industrial applications.

1.2K

Publications

60.1K

Citations

2.8K

Authors

968

Institutions

Publications per year

2017–2026

209

Authors

2.8K

  1. JA
    Jorge Angeles

    McGill University, Canada

    17 publications · 3.8K citations

    16

    h-index

  2. CG
    Clément Gosselin

    Université Laval, Canada

    19 publications · 3.8K citations

    16

    h-index

  3. JS
    Jian S. Dai

    King's College London, United Kingdom

    13 publications · 615 citations

    12

    h-index

  4. GG
    G. Gogu

    Université Clermont Auvergne, France

    11 publications · 291 citations

    11

    h-index

  5. PW
    Philippe Wenger

    Centre National de la Recherche Scientifique, France

    9 publications · 412 citations

    9

    h-index

1–5 of 2.8K

Venues

  1. IEEE Transactions on Power Systems

    57 publications · 4.9K citations

    37

    h-index

  2. The International Journal of Robotics Research

    IJRR · 22 publications · 2.4K citations

    21

    h-index

  3. Journal of Mechanical Design

    36 publications · 3.2K citations

    21

    h-index

  4. Journal of Mechanisms and Robotics

    28 publications · 959 citations

    20

    h-index

  5. Robotica

    29 publications · 912 citations

    17

    h-index

1–5