Combined complete coverage path planning for autonomous mobile robot in indoor environment

Mao Yutian*, Dou Lihua, Chen Jie, Fang Hao, Zhang Haiqiang, Cao Hu

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Complete coverage path planning is a key problem for autonomous mobile robot, which concerns both efficiency and completeness of coverage. This paper proposed a novel strategy of combined coverage path planning method, which combines the template-based and the heuristic coverage path planning. The template-based mode allows the robot to run under some predefined motion templates which can realize the completeness of coverage, the heuristic complete coverage algorithm works out an optimal path by heuristic search that can improve the coverage efficiency. All these functions can be carried out with the low-cost general hardware : the ultrasonic sensors, incremental encoders, DC motors, etc. Finally numerical simulations and experiments verify the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages1468-1473
Number of pages6
Publication statusPublished - 2009
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, China
Duration: 27 Aug 200929 Aug 2009

Publication series

NameProceedings of 2009 7th Asian Control Conference, ASCC 2009

Conference

Conference2009 7th Asian Control Conference, ASCC 2009
Country/TerritoryChina
CityHong Kong
Period27/08/0929/08/09

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