Jacobian Estimation

Jacobian Estimation is the process of determining the Jacobian matrix, which maps the differential changes in a robot’s joint coordinates to corresponding changes in its end-effector position and orientation within the image or task space, by means of analytical modeling, learning-based approaches, or online adaptation techniques.

315

Publications

17.2K

Citations

871

Authors

403

Institutions

Publications per year

2017–2026

70

Authors

871

  1. CC
    Chien Chern Cheah

    Nanyang Technological University, Singapore

    8 publications · 503 citations

    8

    h-index

  2. SA
    S. Arimoto

    Ritsumeikan University, Japan

    4 publications · 270 citations

    4

    h-index

  3. MJ
    Martin Jägersand

    University of Alberta, Canada

    4 publications · 150 citations

    4

    h-index

  4. SK
    S. Kawamura

    Ritsumeikan University, Japan

    4 publications · 270 citations

    4

    h-index

  5. GH
    Guoquan Huang

    University of Delaware, United States

    4 publications · 779 citations

    4

    h-index

1–5 of 871

Venues

  1. IEEE Transactions on Power Systems

    9 publications · 326 citations

    9

    h-index

  2. The International Journal of Robotics Research

    IJRR · 6 publications · 2.3K citations

    6

    h-index

  3. Journal of Robotic Systems

    5 publications · 236 citations

    5

    h-index

  4. Robotica

    5 publications · 168 citations

    5

    h-index

  5. SIAM Journal on Scientific Computing

    4 publications · 152 citations

    4

    h-index

1–5