Generation of Optimal Coverage Paths for Mobile Robots Using Hybrid Genetic Algorithm

This paper presents new optimal offline approaches to solve the coverage path planning problem. A novel hybrid genetic algorithm (HGA), which uses, the turn-away starting point and backtracking spiral algorithms for performing local search, is proposed for grid-based environmental representations. T...

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Bibliographic Details
Published in:	Journal of robotics and mechatronics Vol. 33; no. 1; pp. 11 - 23
Main Authors:	Schäfle, Tobias Rainer, Mitschke, Marcel, Uchiyama, Naoki
Format:	Journal Article
Language:	English
Published:	Tokyo Fuji Technology Press Co. Ltd 20.02.2021
Subjects:	Energy value Fitness Genetic algorithms Path planning Travel time
ISSN:	0915-3942, 1883-8049
Online Access:	Get full text
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