Radial based probabilistic roadmap motion planning method in sparse environment

Chun Xiao Gao*, Yu Shu Liu, Jun Zheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A new dynamic path planning method in high dimensional workspace, radial based probabilistic roadmap motion (RBPRM) planning method, is presented. Different from general probabilistic roadmap motion planning methods, it uses straight lines as long as possible to construct a path graph, so the final path obtained from the graph is relatively shorter and straighter. Experimental results show the efficiency of the algorithm in finding shorter paths in sparse environment.

Original languageEnglish
Pages (from-to)89-92
Number of pages4
JournalJournal of Beijing Institute of Technology (English Edition)
Volume11
Issue number1
Publication statusPublished - Mar 2002

Keywords

  • Collision avoidance
  • Path planning
  • Probabilistic roadmap method
  • Robotics
  • Virtual reality

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