DocumentCode :
354253
Title :
NN-based environment recognition of pipeline robot
Author :
Zhou Xiao ; Tiansheng, Lu ; Zhijun, Li
Author_Institution :
Shanghai Jiaotong Univ., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1257
Abstract :
Aimed at the environment recognition problem of pipeline robot in bent pipes this paper constructs the characteristic rotating vector description of images and uses RBF neural network to recognize the direction of turn. Experiments prove that the speed and accuracy of the algorithms can meet the requirement of visual servo control in pipeline robot
Keywords :
computational complexity; image recognition; mobile robots; neurocontrollers; radial basis function networks; robot vision; servomechanisms; NN-based environment recognition; RBF neural network; bent pipes; pipeline robot; rotating vector image description; visual servo control; Image recognition; Neodymium; Neural networks; Pipelines; Robots; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863445
Filename :
863445
Link To Document :
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