Application of RRT-based local path planning algorithm in unknown environment

Yu Tian, Lei Yan, Gun Young Park, Seung Han Yang, Young Suk Kim, Sang Ryong Lee, Choon Young Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Path planning for mobile robots has received a great deal of attention over the past two decades. The basic Rapidly-exploring Random Tree (RRT) algorithm is famous in this field because it excels at exploring free space in the large environments and it is parallelizable. In this paper, we applied modified RRT algorithm to local navigation of a mobile robot in unknown environment. The biased direction from RRT algorithm is used to reduce the nodes and therefore the amount of calculation is decreased for real-time computation. We conducted the simulation and simple real-time experiments to verify the proposed method in real unknown environment.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
Pages456-460
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007 - Jacksonville, FL, United States
Duration: 20 Jun 200723 Jun 2007

Publication series

NameProceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007

Conference

Conference2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
Country/TerritoryUnited States
CityJacksonville, FL
Period20/06/0723/06/07

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