Manipulability Measures

Manipulability Measures is a metric that quantifies the ability of a robotic manipulator to perform motion in arbitrary directions in Cartesian space, distinguished by its dependence on the Jacobian matrix to assess the conditioning and isotropy of the kinematic mapping at a given configuration.

149

Publications

10.3K

Citations

334

Authors

165

Institutions

Publications per year

2017–2026

22

Authors

334

  1. AB
    Antonio Bicchi

    University of Pisa, Italy

    5 publications · 388 citations

    5

    h-index

  2. TY
    T. Yoshikawa

    Kyoto University, Japan

    5 publications · 760 citations

    5

    h-index

  3. TY
    Tsuneo Yoshikawa

    Kyoto University, Japan

    4 publications · 2.6K citations

    4

    h-index

  4. DP
    Domenico Prattichizzo

    University of Siena, Italy

    4 publications · 216 citations

    4

    h-index

  5. TA
    Tatsuo Arai

    University of Tsukuba, Japan

    4 publications · 103 citations

    4

    h-index

1–5 of 334

Venues

  1. IEEE Transactions on Robotics and Automation

    8 publications · 1K citations

    8

    h-index

  2. Robotica

    6 publications · 113 citations

    6

    h-index

  3. Journal of Robotic Systems

    4 publications · 152 citations

    4

    h-index

  4. The International Journal of Robotics Research

    IJRR · 4 publications · 3K citations

    4

    h-index

  5. Journal of Intelligent & Robotic Systems

    4 publications · 332 citations

    4

    h-index

1–5