Motion Planning

Motion planning is a computational problem in autonomous systems that determines a collision-free sequence of configurations or trajectory enabling a system to navigate from an initial configuration to a goal configuration subject to geometric and kinematic constraints.

12.6K

Publications

714.6K

Citations

23.4K

Authors

3.2K

Institutions

Publications per year

2017–2026

4.4K

Authors

23.4K

  1. LE
    Lydia E. Kavraki

    Rice University, United States

    92 publications · 15.3K citations

    50

    h-index

  2. JK
    James Kuffner

    Carnegie Mellon University, United States

    58 publications · 10.4K citations

    43

    h-index

  3. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    82 publications · 7.3K citations

    39

    h-index

  4. SM
    Steven M. LaValle

    University of Illinois Urbana-Champaign, United States

    70 publications · 12.5K citations

    38

    h-index

  5. VK
    Vijay Kumar

    University of Pennsylvania, United States

    65 publications · 5K citations

    37

    h-index

1–5 of 23.4K

Venues

  1. The International Journal of Robotics Research

    IJRR · 299 publications · 38.8K citations

    100

    h-index

  2. IEEE Transactions on Robotics

    234 publications · 21.2K citations

    84

    h-index

  3. IEEE Robotics and Automation Letters

    330 publications · 18.9K citations

    71

    h-index

  4. IEEE Transactions on Robotics and Automation

    107 publications · 21.1K citations

    62

    h-index

  5. ACM Transactions on Graphics

    TOG · 115 publications · 14K citations

    62

    h-index

1–5

See also

Motion Planning

Core Methods

Constraints

Evaluation

Applications