Research on information fusion model based on multi-clustering fuzzy neural networks

2010 ◽  
Author(s):  
Tie-jun Zhang ◽  
Duo Chen ◽  
Xiao-yue Liu
Keyword(s):  
Neural Networks ◽  
Information Fusion ◽  
Fuzzy Neural Networks ◽  
Fusion Model ◽  
Model Based ◽  
Fuzzy Neural

The Research on Fuzzy Neural Networks in the Multi-Sensor Information Fusion of Intelligent Robots

2011 ◽  
Vol 225-226 ◽  
pp. 115-119
Author(s):  
Lian Jun Hu ◽  
Hong Song ◽  
Yi Luo ◽  
Xiao Hui Zeng ◽  
Bing Qiang Wang
Keyword(s):  
Neural Networks ◽  
Information Fusion ◽  
Fault Tolerant ◽  
Fuzzy Neural Networks ◽  
Infrared Sensors ◽  
Intelligent Robots ◽  
Vision Sensors ◽  
Fuzzy Neural ◽  
Single Sensor ◽  
Sensor Information

A controller based on fuzzy neural network is designed in the paper. Fuzzy neural networks are introduced into the information fusion of signals from sensors of an AS-R intelligent robot. Characteristic information of unknown environments acquired by ultrasonic sensors, infrared sensors and vision sensors are fused together in order to eliminate uncertainty caused by single sensor. Therefore, precise environment information can be obtained and the fault tolerant capabilities of robots are improved. It is proved that intelligent robots adopting multi-sensor information fusing techniques have better real-time and robust characteristics according to simulation results.

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