Motion Planning Completeness

Motion Planning Completeness is a theoretical property of motion planning algorithms that belongs to the class of algorithmic completeness criteria, specifically defined by the guarantee that a solution will be found if one exists, or that non-existence will be conclusively determined, within a finite or well-characterized computational effort.

27

Publications

1.1K

Citations

61

Authors

28

Institutions

Publications per year

2017–2026

9

Authors

61

  1. HG
    Héctor Geffner

    Universitat Pompeu Fabra, Spain

    3 publications · 61 citations

    3

    h-index

  2. MM
    Mark Moll

    Rice University, United States

    2 publications · 236 citations

    2

    h-index

  3. JC
    John Canny

    University of California, Berkeley, United States

    2 publications · 135 citations

    2

    h-index

  4. BR
    Bruce R. Donald

    Duke University, United States

    2 publications · 135 citations

    2

    h-index

  5. LE
    Lydia E. Kavraki

    Rice University, United States

    2 publications · 236 citations

    2

    h-index

1–5 of 61

Venues

  1. The International Journal of Robotics Research

    IJRR · 2 publications · 135 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 31 citations

    2

    h-index

  3. 2

    h-index

  4. Artificial Intelligence

    1 publications · 207 citations

    1

    h-index

  5. Autonomous Robots

    1 publications · 39 citations

    1

    h-index

1–5