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Improved Motion Planning Algorithms Based on Rapidly-exploring Random Tree: A Review

  • Northwestern Polytechnical University Xian

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

4 Scopus citations

Abstract

This paper mainly summarizes and introduces the improvements proposed by scholars at home and abroad in recent years for the application of Rapidly-exploring Random Tree in robot arms. This paper first briefly introduces the existing path planning algorithms and expounds their advantages and disadvantages. Then the principle and process of Rapidly-exploring Random Tree are described and the RRT algorithm in three-dimensional space is simulated and analyzed. Next, the improved RRT algorithm proposed by domestic and foreign researchers is classified, analyzed and explained. Finally, the whole article is summarized and the direction of future development and research of manipulator motion planning algorithms is prospected.

Original languageEnglish
Title of host publicationICCIP 2022 - 2022 8th International Conference on Communication and Information Processing
PublisherAssociation for Computing Machinery
Pages1-8
Number of pages8
ISBN (Electronic)9781450397100
DOIs
StatePublished - 3 Nov 2022
Event8th International Conference on Communication and Information Processing, ICCIP 2022 - Virtual, Online, China
Duration: 27 Oct 202229 Oct 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Communication and Information Processing, ICCIP 2022
Country/TerritoryChina
CityVirtual, Online
Period27/10/2229/10/22

Keywords

  • RRT algorithm
  • improved RRT algorithm
  • manipulator
  • path planning

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