Concepedia

Rapidly Exploring Random Forests

Rapidly Exploring Random Forests is a probabilistic motion planning framework that extends Rapidly Exploring Random Trees by employing a collection of incrementally grown trees rooted at randomly sampled configurations to enhance coverage and connectivity in high-dimensional spaces.

75

Publications

6.7K

Citations

243

Authors

103

Institutions

Publications per year

2017–2026

34

Parents

Publications

75

Rapidly-exploring random trees : a new tool for path planning

Steven M. LaValle · 1998 · 3.6K citations

, , +10

Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments

Ahmed H. Qureshi, Yasar Ayaz · Robotics and Autonomous Systems · 2015 · 253 citations · Full text

, , +14

Motion planning for urban driving using RRT

Yoshiaki Kuwata, Gaston Fiore, J. Teo et al. · 2008 · 215 citations

, , +12

A Probabilistically Robust Path Planning Algorithm for UAVs Using Rapidly-Exploring Random Trees

Mangal Kothari, Ian Postlethwaite · Journal of Intelligent & Robotic Systems · 2012 · 175 citations

, , +14

Motion Planning in Complex Environments Using Closed-loop Prediction

Yoshiaki Kuwata, Justin Teo, Karaman Sertac et al. · AIAA Guidance, Navigation and Control Conference and Exhibit · 2008 · 159 citations

, , +17

1–5 of 75

Authors

243

  1. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    3 publications · 440 citations

    3

    h-index

  2. NL
    Nghi L.B. Le

    Delft University of Technology, Netherlands

    2 publications · 30 citations

    2

    h-index

  3. JY
    Jiaxing Yu

    Wuhan University of Technology, China

    2 publications · 99 citations

    2

    h-index

  4. XG
    Xuexun Guo

    Wuhan University of Technology, China

    2 publications · 99 citations

    2

    h-index

  5. PS
    Piet Stroeven

    Delft University of Technology, Netherlands

    2 publications · 30 citations

    2

    h-index

1–5 of 243

Institutions

103

  1. Drexel University

    Philadelphia, United States

    3 h-index

    6 publications

    111 citations

  2. Wuhan University of Technology

    Wuhan, China

    3 h-index

    10 publications

    436 citations

  3. Linköping University

    Linköping, Sweden

    2 h-index

    4 publications

    204 citations

  4. Politecnico di Torino

    Turin, Italy

    2 h-index

    9 publications

    319 citations

  5. National University of Sciences and Technology

    Islamabad, Pakistan

    2 h-index

    7 publications

    621 citations

  6. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    7 publications

    1.2K citations

  7. Commonwealth Scientific and Industrial Research Organisation

    Canberra, Australia

    2 h-index

    2 publications

    46 citations

  8. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    2 h-index

    5 publications

    128 citations

1–8 of 103

Venues

  1. Image Analysis & Stereology

    2 publications · 30 citations

    2

    h-index

  2. The International Journal of Robotics Research

    IJRR · 2 publications · 158 citations

    2

    h-index

  3. 2

    h-index

  4. Sensors

    2 publications · 47 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 144 citations

    2

    h-index

1–5