Shortest Path Planning

Shortest Path Planning is a computational method within the field of robot motion planning that identifies the minimal-length trajectory connecting two configurations in a workspace, typically by leveraging a visibility graph to encode feasible straight-line paths among obstacles.

1.2K

Publications

60.2K

Citations

3.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

459

Authors

3.3K

  1. SK
    Sven Koenig

    University of Southern California, United States

    16 publications · 1.8K citations

    14

    h-index

  2. OS
    Oren Salzman

    Tel Aviv University, Israel

    10 publications · 179 citations

    10

    h-index

  3. JS
    Joseph S. B. Mitchell

    Stony Brook University, United States

    8 publications · 513 citations

    8

    h-index

  4. PT
    Panagiotis Tsiotras

    Georgia Institute of Technology, United States

    8 publications · 241 citations

    8

    h-index

  5. DH
    Daniel Harabor

    Monash University, Australia

    6 publications · 163 citations

    6

    h-index

1–5 of 3.3K

Venues

  1. IEEE Access

    22 publications · 827 citations

    17

    h-index

  2. Sensors

    13 publications · 766 citations

    13

    h-index

  3. Robotics and Autonomous Systems

    13 publications · 1.3K citations

    13

    h-index

  4. IEEE Transactions on Robotics and Automation

    12 publications · 1.7K citations

    12

    h-index

  5. Ocean Engineering

    11 publications · 844 citations

    11

    h-index

1–5