DocumentCode
559000
Title
Complete coverage path planning for multi-robots based on
Author
Janchiv, Adiyabaatar ; Batsaikhan, Dugarjav ; Kim, Gook Hwan ; Lee, Soon-Geul
Author_Institution
Dept. of Mech. Eng., Kyung Hee Univ., Yongin, South Korea
fYear
2011
fDate
26-29 Oct. 2011
Firstpage
824
Lastpage
827
Abstract
Complete coverage path planning is major problem for autonomous mobile robot, which concerns both efficiency and completeness of coverage. In this paper, a complete coverage path planning algorithm is proposed for two indoor floor-caring robots, such as cleaning or inspecting industrial and public floor areas, to have the minimal turning path based on the shape and size of the cell covering the whole working area. The proposed algorithm divides the whole cleaning area into cells by cellular decomposition method, and then provides efficient covering order over the cells based on distance among centroids of cells. It also provides more optimal coverage path and reduces the rate of energy consumption and working time. Both simulation and experimental results demonstrate the effectiveness of the algorithm. As compared performance indices between experiment and simulation, the total number of turns and the working time show the practical efficiency and robustness of the proposed algorithm.
Keywords
cleaning; mobile robots; multi-robot systems; path planning; service robots; autonomous mobile robot; cellular decomposition method; cleaning area; coverage path planning; covering order; energy consumption; indoor floor-caring robots; minimal turning path; multirobots; optimal coverage path; working time; Algorithm design and analysis; Cleaning; Path planning; Robot kinematics; Robot sensing systems; Cellular Decomposition; Cleaning Robot; Complete Coverage Path Planning; Multi-robot; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location
Gyeonggi-do
ISSN
2093-7121
Print_ISBN
978-1-4577-0835-0
Type
conf
Filename
6106338
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