Joint Velocity Optimization

Joint Velocity Optimization is a computational method in redundancy resolution that determines the optimal instantaneous joint velocities for a redundant manipulator by minimizing a specified objective function subject to task constraints.

23

Publications

1.2K

Citations

60

Authors

31

Institutions

Publications per year

2017–2026

5

Authors

60

  1. ID
    Ian D. Walker

    Clemson University, United States

    2 publications · 164 citations

    2

    h-index

  2. SM
    Shugen Ma

    Ritsumeikan University, Japan

    2 publications · 81 citations

    2

    h-index

  3. WL
    Weibing Li

    Sun Yat-sen University, China

    2 publications · 69 citations

    2

    h-index

  4. JZ
    Jing Zhao

    Beijing University of Technology, China

    2 publications · 24 citations

    2

    h-index

  5. SS
    Shankar Sastry

    University of California, Berkeley, United States

    2 publications · 329 citations

    2

    h-index

1–5 of 60

Venues

  1. Journal of Robotic Systems

    2 publications · 258 citations

    2

    h-index

  2. 2

    h-index

  3. Robotica

    2 publications · 49 citations

    2

    h-index

  4. 1

    h-index

  5. The International Journal of Robotics Research

    IJRR · 1 publications · 188 citations

    1

    h-index

1–5