Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments
Ma, XW; Li, XL; Qiao, H
Source PublicationMECHATRONICS
2001-12
Volume11Issue:8Pages:1039-1052
AbstractIn 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.
Keyword
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12591
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorMa, XW
AffiliationHarbin Inst Technol
Recommended Citation
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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