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	Fuzzy neural network based dynamic path planning
	Jiang, Min ; Yu, Yang ; Liu, Xiaoli ; Zhang, Fan ; Hong, Qingyang ; Jiang M(江敏) ; Hong QY(洪青阳)
	2012
关键词	Cybernetics Fuzzy neural networks Learning systems Membership functions
英文摘要	Conference Name:2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012. Conference Address: Xian, Shaanxi, China. Time:July 15, 2012 - July 17, 2012.; Hebei University; IEEE Systems, Man and Cybernetics Society; Chongqing University; South China University of Technology; Hong Kong Baptist University; It is an important issue for mobile robot to find the best route as well as avoid moving into obstacles. In this article, we put forward a solution to the problem by using fuzzy-neural network. Compared with the other path planning approaches, one of the main advantages of the methods based on fuzzy-neural network is that they give stronger robustness to the robot. Different from the similar methods, we introduce a novel fuzzy membership function which is based on collision prediction. This method not only preserves the advantages of the existing ones, but also can give a realistic meaning to the path gotten from this approach. The simulation results prove the feasibility and validity of our method. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICMLC.2012.6358934
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86793]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Jiang, Min,Yu, Yang,Liu, Xiaoli,et al. Fuzzy neural network based dynamic path planning. 2012-01-01.

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