Real-time Kinematic Optimization

Real-Time Kinematic Optimization is a computational method in medical robot kinematics that dynamically refines joint configurations to achieve optimal task performance under kinematic constraints, distinguished by its requirement for instantaneous convergence and continuous adaptation within strict temporal bounds during robotic operation.

15

Publications

816

Citations

55

Authors

16

Institutions

Publications per year

2017–2026

5

Authors

55

  1. YZ
    Yunong Zhang

    Sun Yat-sen University, China

    3 publications · 300 citations

    3

    h-index

  2. KL
    Kene Li

    Sun Yat-sen University, China

    2 publications · 46 citations

    2

    h-index

  3. CL
    Chiyu Long

    Wuhan University, China

    1 publications · 19 citations

    1

    h-index

  4. PZ
    Peizhao Zhang

    Meta (Israel), Israel

    1 publications · 62 citations

    1

    h-index

  5. MD
    Michele D. Carpenter

    Cornell University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 55

Venues

  1. IEEE Transactions on Industrial Electronics

    1 publications · 254 citations

    1

    h-index

  2. IEEE Sensors Journal

    1 publications · 19 citations

    1

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 46 citations

    1

    h-index

  4. Robotica

    1 publications · 18 citations

    1

    h-index

  5. Journal of Thermal Spray Technology

    1 publications · 21 citations

    1

    h-index

1–5