Radial based probabilistic roadmap motion planning method in sparse environment

Chun Xiao Gao*, Yu Shu Liu, Jun Zheng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)89-92
页数4
期刊Journal of Beijing Institute of Technology (English Edition)
11
1
出版状态已出版 - 3月 2002

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