Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments
Ma, XW; Li, XL; Qiao, H
2001-12
发表期刊MECHATRONICS
卷号11期号:8页码:1039-1052
摘要In this paper, a hybrid intelligent method including fuzzy inference and neural network is presented for real-time self-reaction of a mobile robot in unknown environments. A neural network with fuzzy inference (fuzzy neural network, FNN) presented can effectively improve the learning speed of the neural network. The method can be used to control a mobile robot based on the present motion situations of the robot in real-time, these situations include the distances in different directions between the obstacles and the robot provided by ultrasonic sensors. the target orientation sensed by a simple optical range-finder and the movement direction of the robot. Simulation results showed that the above method can quickly map the fuzzy relationship between the inputs and the output of the control system of the mobile robot. (C) 2001 Elsevier Science Ltd. All rights reserved.
关键词
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12591
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Ma, XW
作者单位Harbin Inst Technol
推荐引用方式
GB/T 7714
Ma, XW,Li, XL,Qiao, H. Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments[J]. MECHATRONICS,2001,11(8):1039-1052.
APA Ma, XW,Li, XL,&Qiao, H.(2001).Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments.MECHATRONICS,11(8),1039-1052.
MLA Ma, XW,et al."Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments".MECHATRONICS 11.8(2001):1039-1052.
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