DocumentCode :
533607
Title :
A study on multiple information fusion technology in obstacle avoidance of robots
Author :
Dong, Liu
Author_Institution :
Electron. Inf. Training Base, Beijing Union Univ., Beijing, China
Volume :
1
fYear :
2010
fDate :
1-2 Aug. 2010
Firstpage :
171
Lastpage :
174
Abstract :
On the basis of previous rationales of multiple information fusion, this article suggests the process of information fusion on the basis of intelligence technologies of artificial neural network by adopting human-simulating intelligence algorithm. It is verified that a better fusion effect may be achieved. In consideration of actual conditions of laboratory, we performed fusion of information collected by the multiple sensors of intelligent mobile robot, and apply the human-simulating multiple information fusion method in the obstacle avoidance experiment of intelligent mobile robot. We compared the new test results with that of traditional logical judgment-based obstacle avoidance, summed up the advantages of human-simulating multiple information fusion method in mobile robot obstacle avoidance, depicted the traveling path of robot by picture and indicated apparent obstacle avoidance effect.
Keywords :
collision avoidance; intelligent robots; mobile robots; neural nets; sensor fusion; artificial neural network; human-simulating intelligence algorithm; human-simulating multiple information fusion method; intelligence technologies; intelligent mobile robot; logical judgment-based obstacle avoidance; multiple information fusion technology; multiple sensors; Humans; Robot sensing systems; Uncertainty; BP neural network; information fusion; mobile robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7969-6
Type :
conf
DOI :
10.1109/PACCS.2010.5627062
Filename :
5627062
Link To Document :
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