Robust GA based global path planning for IoP oriented mobil robot
Xi,Ruidong1; Yang,Zhixin1; Tang,Lulu1; Wang,Zhigang2
Source PublicationProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
AbstractIn this paper, a novel genetic algorithm based global path planning approach is proposed for effective and robust control of an IoP-oriented mobile robot. This method is designed in an indoor work environment, different from the traditional procedure of planning algorithm, a searching area is determined at first, within which the subsequent planning method is conducted. The improved genetic algorithm method exploits a new encoding scheme to increase the chromosomes' flexibility and adopts a new crossover operator for effectiveness. The simulation results in MATLAB successfully demonstrate that the proposed method performs very well in various environments.
KeywordGenetic Algorithm Mobile robot Path planning
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Scopus ID2-s2.0-85060302961
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Faculty of Science and Technology,University of Macau,Macao
2.School of Energy and Machinery Engineering,Jiangxi University of Science and Technology,Nanchang,China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xi,Ruidong,Yang,Zhixin,Tang,Lulu,et al. Robust GA based global path planning for IoP oriented mobil robot[C],2018:1962-1969.
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