Model-based Motion Planning

Model-Based Motion Planning is a computational approach within robotic motion synthesis that employs an explicit mathematical representation of a continuum robot’s kinematic and dynamic behavior to generate feasible, task-compliant trajectories by leveraging analytical or numerical models of its continuous deformation mechanics.

79

Publications

4.3K

Citations

266

Authors

104

Institutions

Publications per year

2017–2026

42

Authors

266

  1. DH
    David Hsu

    National University of Singapore, Singapore

    3 publications · 116 citations

    3

    h-index

  2. RA
    Ron Alterovitz

    University of North Carolina at Chapel Hill, United States

    3 publications · 177 citations

    3

    h-index

  3. JW
    Jiajun Wu

    Massachusetts Institute of Technology, United States

    2 publications · 121 citations

    2

    h-index

  4. WG
    Wei Gao

    Ocean University of China, China

    2 publications · 89 citations

    2

    h-index

  5. AG
    Abhishek Gupta

    University of California, Berkeley, United States

    2 publications · 99 citations

    2

    h-index

1–5 of 266

Venues

  1. IEEE Robotics and Automation Letters

    6 publications · 195 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 314 citations

    5

    h-index

  3. Robotics and Computer-Integrated Manufacturing

    2 publications · 176 citations

    2

    h-index

  4. The International Journal of Robotics Research

    IJRR · 2 publications · 60 citations

    2

    h-index

  5. IEEE Transactions on Robotics

    2 publications · 200 citations

    2

    h-index

1–5