Dynamic Environment Planning

Dynamic Environment Planning is a path planning strategy within probabilistic roadmap methods that extends static roadmap frameworks by incorporating temporal and environmental changes to enable real-time adaptation of robot trajectories in response to moving obstacles or evolving scene conditions.

28

Publications

3.5K

Citations

69

Authors

34

Institutions

Publications per year

2017–2026

4

Authors

69

  1. SL
    Seungho Lee

    Hannam University, South Korea

    2 publications · 37 citations

    2

    h-index

  2. JH
    James Hendler

    University of Maryland, College Park, United States

    2 publications · 65 citations

    2

    h-index

  3. YS
    Young‐Jun Son

    University of Arizona, United States

    2 publications · 37 citations

    2

    h-index

  4. SK
    Sunil K. Agrawal

    University of Delaware, United States

    2 publications · 62 citations

    2

    h-index

  5. YH
    Yongxing Hao

    North China University of Water Resources and Electric Power, China

    2 publications · 62 citations

    2

    h-index

1–5 of 69

Venues

  1. Robotica

    1 publications · 10 citations

    1

    h-index

  2. 1

    h-index

  3. Applied Intelligence

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 1 publications · 15 citations

    1

    h-index

1–5