Constraint-based Motion Planning

Constraint-Based Motion Planning is a motion planning paradigm that belongs to the class of constraint-satisfaction methods in robotics, distinguished by its formulation of robot trajectory generation as a problem of finding paths that simultaneously satisfy a set of geometric, kinematic, dynamic, or task-specific constraints.

273

Publications

14.7K

Citations

673

Authors

253

Institutions

Publications per year

2017–2026

72

Authors

673

  1. LE
    Lydia E. Kavraki

    Rice University, United States

    9 publications · 766 citations

    9

    h-index

  2. JK
    James Kuffner

    Carnegie Mellon University, United States

    7 publications · 1.2K citations

    7

    h-index

  3. JL
    Jean‐Paul Laumond

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    6 publications · 435 citations

    6

    h-index

  4. NM
    Nancy M. Amato

    Texas A&M University, United States

    5 publications · 134 citations

    5

    h-index

  5. SS
    Siddhartha S Srinivasa

    Carnegie Mellon University, United States

    5 publications · 886 citations

    5

    h-index

1–5 of 673

Venues

  1. The International Journal of Robotics Research

    IJRR · 12 publications · 1.4K citations

    12

    h-index

  2. Robotics and Autonomous Systems

    5 publications · 293 citations

    5

    h-index

  3. IEEE Transactions on Robotics and Automation

    5 publications · 157 citations

    5

    h-index

  4. IEEE Robotics and Automation Letters

    5 publications · 185 citations

    5

    h-index

  5. IEEE Transactions on Robotics

    5 publications · 381 citations

    5

    h-index

1–5