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	PSO-based fuzzy image mobile robot systems design
	Feng, Hsuan-Ming ; Chen, Hua-Ching ; Guo, Dong-Hui ; Guo DH(郭东辉)
	2011
关键词	Crime Embedded systems Fuzzy control Fuzzy rules Image processing Learning algorithms Machine design Mathematical models Mobile robots Systems analysis
英文摘要	Conference Name:2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, ASID 2011. Conference Address: Xiamen, China. Time:June 24, 2011 - June 26, 2011.; IEEE Beijing Section; Xiamen University; The novel particle swarm optimization (PSO) learning algorithm is applied to automatically generate the fuzzy systems with the image processing technology in achieving the adaptability of the embedded mobile robot. The omni-directional image mathematical model for the mobile robot system is established to represent the indoor environment. The embedded fuzzy control rules are automatically extracted by the direct of the flexible fitness function for multiple objectives of avoiding obstacles, selecting suitable fuzzy rules and approaching the desired targets at the same time. The illustrated examples with various initial positions for the discussed environment map containing the defined block is applied to demonstrate that the proposed mobile robot with the selected fuzzy rules can overcome the obstacles and achieve the targets as soon as possible. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ASID.2011.5967426
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86353]
专题	物理技术－会议论文
推荐引用方式 GB/T 7714	Feng, Hsuan-Ming,Chen, Hua-Ching,Guo, Dong-Hui,et al. PSO-based fuzzy image mobile robot systems design. 2011-01-01.

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