Numerical Kinematics

Numerical Kinematics is a computational framework within robotic kinematics that employs numerical methods to solve inverse kinematics problems by iteratively approximating joint configurations required to achieve desired end-effector poses, distinguishing itself from analytical approaches through its reliance on algorithmic convergence rather than closed-form solutions.

129

Publications

6.7K

Citations

320

Authors

152

Institutions

Publications per year

2017–2026

32

Authors

320

  1. GY
    Guilin Yang

    Singapore Institute of Manufacturing Technology, Singapore

    4 publications · 156 citations

    4

    h-index

  2. CW
    Charles W. Wampler

    General Motors (United States), United States

    4 publications · 534 citations

    4

    h-index

  3. AJ
    Andrew J. Sommese

    University of Notre Dame, United States

    4 publications · 534 citations

    4

    h-index

  4. KK
    Kazem Kazerounian

    University of Connecticut, United States

    3 publications · 108 citations

    3

    h-index

  5. IC
    I‐Ming Chen

    Nanyang Technological University, Singapore

    3 publications · 121 citations

    3

    h-index

1–5 of 320

Venues

  1. Robotica

    9 publications · 267 citations

    9

    h-index

  2. Journal of Robotic Systems

    7 publications · 263 citations

    7

    h-index

  3. Mechanism and Machine Theory

    6 publications · 159 citations

    6

    h-index

  4. IEEE Access

    5 publications · 182 citations

    5

    h-index

  5. Journal of Mechanical Design

    5 publications · 485 citations

    5

    h-index

1–5