Sampling-based Path Refinement

Sampling-Based Path Refinement is a path smoothing method that iteratively improves the feasibility and optimality of a preliminary robotic trajectory by generating and evaluating additional configuration-space samples to locally refine path segments while preserving global connectivity.

9

Publications

1.7K

Citations

32

Authors

13

Institutions

Publications per year

2017–2026

5

Authors

32

  1. ZL
    Zhaoxin Li

    Harbin Institute of Technology, China

    1 publications · 38 citations

    1

    h-index

  2. YL
    Yi Lin

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 144 citations

    1

    h-index

  3. DC
    Danfeng Chen

    Foshan University, China

    1 publications · 122 citations

    1

    h-index

  4. SY
    Shanen Yu

    Hangzhou Dianzi University, China

    1 publications · 40 citations

    1

    h-index

  5. XT
    Xiaolong Tong

    Hunan Institute of Science and Technology, China

    1 publications · 40 citations

    1

    h-index

1–5 of 32

Venues

  1. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 13 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Intelligent & Robotic Systems

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Robotics and Autonomous Systems

    1 publications · 122 citations

    1

    h-index

1–5