Manipulability Maximization

Manipulability Maximization is an optimization objective in robotics and control systems that belongs to the class of performance criteria for redundant manipulators, distinguished by its focus on maximizing a manipulator's ability to achieve arbitrary end-effector motions through favorable configurations in its kinematic null space.

82

Publications

3.3K

Citations

241

Authors

107

Institutions

Publications per year

2017–2026

25

Authors

241

  1. AA
    Anthony A. Maciejewski

    Colorado State University, United States

    3 publications · 82 citations

    3

    h-index

  2. GP
    Grzegorz Pająk

    University of Zielona Góra, Poland

    3 publications · 45 citations

    3

    h-index

  3. YZ
    Yunong Zhang

    Sun Yat-sen University, China

    3 publications · 118 citations

    3

    h-index

  4. RG
    Rodney G. Roberts

    Florida A&M University - Florida State University College of Engineering, United States

    3 publications · 82 citations

    3

    h-index

  5. IP
    Iwona Pająk

    University of Zielona Góra, Poland

    3 publications · 45 citations

    3

    h-index

1–5 of 241

Venues

  1. Robotica

    3 publications · 53 citations

    3

    h-index

  2. IEEE/ASME Transactions on Mechatronics

    3 publications · 116 citations

    3

    h-index

  3. Journal of Robotic Systems

    3 publications · 126 citations

    3

    h-index

  4. Social Choice and Welfare

    3 publications · 76 citations

    3

    h-index

  5. Journal of Intelligent & Robotic Systems

    3 publications · 75 citations

    3

    h-index

1–5