Multi-query Motion Planning

Multi-Query Motion Planning is a motion planning paradigm that belongs to the class of probabilistic roadmap methods, distinguished by its construction of a reusable roadmap structure enabling efficient solutions to multiple query configurations within the same environment.

18

Publications

2K

Citations

45

Authors

21

Institutions

Publications per year

2017–2026

7

Authors

45

  1. LE
    Lydia E. Kavraki

    Rice University, United States

    4 publications · 1.1K citations

    4

    h-index

  2. AA
    Ali–akbar Agha–mohammadi

    Jet Propulsion Laboratory, United States

    2 publications · 265 citations

    2

    h-index

  3. KE
    Kostas E. Bekris

    Rutgers, The State University of New Jersey, United States

    2 publications · 222 citations

    2

    h-index

  4. NM
    Nancy M. Amato

    Texas A&M University, United States

    2 publications · 262 citations

    2

    h-index

  5. BC
    B.Y. Chen

    Rice University, United States

    2 publications · 222 citations

    2

    h-index

1–5 of 45

Venues

  1. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 18 citations

    1

    h-index

  2. 1

    h-index

  3. The International Journal of Robotics Research

    IJRR · 1 publications · 247 citations

    1

    h-index

  4. IEEE Transactions on Robotics

    1 publications · 172 citations

    1

    h-index

  5. IEEE Robotics and Automation Letters

    1 publications · 139 citations

    1

    h-index

1–5