|Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments|
|Ma, XW; Li, XL; Qiao, H
|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.|
|作者单位||Harbin Inst Technol|
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.
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.
Ma, XW,et al."Fuzzy neural network-based real-time self-reaction of mobile robot in unknown environments".MECHATRONICS 11.8(2001):1039-1052.