Path Planning for Robot with Pose Constraints Using Dubins-RRT

Peng Cui, Weisheng Yan, Xinxin Guo

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

2 Scopus citations

Abstract

Path planning is one of the critical tasks for mobile robots in environment with obstacles. This paper presents a path planning approach for mobile robots with pose constraints to address the obstacle avoidance problem. In this approach, Dubins curves are integrated with the rapidly-exploring random tree to determine the resultant path for collision avoidance. The procedures of the rapidly-exploring random tree approach are modified based on the characters of the Dubins curves in order to handle the pose constraints of the robot. Meanwhile, rather than using the Dubins curves to search the workspace inefficiently, several heuristic conditions are designed and adopted to accelerate the sampling and path planning process. Simulation results are also presented in this paper to prove the feasibility and efficiency of the proposed path planning approach.

Original languageEnglish
Title of host publicationICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages560-565
Number of pages6
ISBN (Electronic)9781538670668
DOIs
StatePublished - 11 Jan 2019
Event3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018 - Singapore, Singapore
Duration: 18 Jul 201820 Jul 2018

Publication series

NameICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

Conference

Conference3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
Country/TerritorySingapore
CitySingapore
Period18/07/1820/07/18

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