Configuration Space Decomposition

Configuration Space Decomposition is a method that partitions the configuration space of a robotic system into non-overlapping cells to facilitate motion planning by enabling localized analysis of feasible and collision-free trajectories.

95

Publications

4.9K

Citations

214

Authors

111

Institutions

Publications per year

2017–2026

11

Authors

214

  1. LE
    Lydia E. Kavraki

    Rice University, United States

    4 publications · 260 citations

    4

    h-index

  2. TL
    Tomás Lozano‐Pérez

    Massachusetts Institute of Technology, United States

    3 publications · 1.2K citations

    3

    h-index

  3. ES
    Elisha Sacks

    Purdue University West Lafayette, United States

    3 publications · 83 citations

    3

    h-index

  4. SM
    Steven M. LaValle

    University of Illinois Urbana-Champaign, United States

    2 publications · 36 citations

    2

    h-index

  5. DZ
    D. Zhu

    Stanford University, United States

    2 publications · 228 citations

    2

    h-index

1–5 of 214

Venues

  1. The International Journal of Robotics Research

    IJRR · 6 publications · 194 citations

    6

    h-index

  2. IEEE Transactions on Robotics

    4 publications · 209 citations

    4

    h-index

  3. Mechanism and Machine Theory

    3 publications · 80 citations

    3

    h-index

  4. Journal of Mechanical Design

    3 publications · 52 citations

    3

    h-index

  5. IEEE Transactions on Robotics and Automation

    3 publications · 322 citations

    3

    h-index

1–5