Path Planning

Path planning is the computational problem of determining a feasible or optimal trajectory for an autonomous agent from an initial configuration to a goal configuration while satisfying collision avoidance and system constraints.

19.6K

Publications

1.1M

Citations

41.4K

Authors

5.1K

Institutions

Publications per year

2017–2026

8.1K

Authors

41.4K

  1. SK
    Sven Koenig

    University of Southern California, United States

    93 publications · 7.3K citations

    45

    h-index

  2. LE
    Lydia E. Kavraki

    Rice University, United States

    54 publications · 12.3K citations

    40

    h-index

  3. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    59 publications · 5.7K citations

    36

    h-index

  4. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    49 publications · 6.1K citations

    35

    h-index

  5. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    55 publications · 4.3K citations

    33

    h-index

1–5 of 41.4K

Venues

  1. The International Journal of Robotics Research

    IJRR · 179 publications · 22.5K citations

    74

    h-index

  2. IEEE Access

    348 publications · 18.7K citations

    74

    h-index

  3. IEEE Transactions on Robotics

    130 publications · 14K citations

    70

    h-index

  4. Robotics and Autonomous Systems

    269 publications · 17.9K citations

    68

    h-index

  5. Ocean Engineering

    220 publications · 14.2K citations

    67

    h-index

1–5

See also

Path Planning

Core Methods

Applications

Evaluation

Variants