NDLI: Application of Fuzzy Neural Networks in data fusion for mobile robot wall-following

Content Provider	IEEE Xplore Digital Library
Author	Zhang Yi Luo Yuan
Copyright Year	2008
Description	Author affiliation: Res. Center of Intell. Syst. & Robot., Chongqing Univ. of Posts & Telecommun., Chongqing (Zhang Yi)
Abstract	This paper presents a multi-sensor data fusion algorithm based on Fuzzy Neural Networks. And then, this algorithm is applied on wall-following of a robot. By using back propagation Neural network as the base, fuzzy logic and neural networks can be used together to form a fuzzy neural networks. Its calculating model combines the wall-following rules of three sorts of wall in unknown environment and back propagation neural network. So, fuzzy neural networks can auto pick up the fuzzy rules and build the subordinate function to decide mobile robotpsilas motion. The training and simulation result shows that the method which was used in wall-following of mobile robot is practicable and effective.
Starting Page	6580
Ending Page	6583
File Size	139637
Page Count	4
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593920
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robots Mobile robots Fuzzy neural networks Fuzzy control Sonar Collision avoidance Artificial neural networks sonar Fuzzy Neural Networks mobile robot data fusion wall following
Content Type	Text
Resource Type	Article

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