DocumentCode :
3494493
Title :
Research on the Method of Intelligent Robot Visual Recognition and Positioning
Author :
Wang, Yinghai ; Jiang, Xinghong ; Li, Zhengming
Author_Institution :
Suzhou Ind. Park Inst. of Vocational Technol., Suzhou
fYear :
2008
fDate :
6-8 April 2008
Firstpage :
916
Lastpage :
919
Abstract :
In the paper, a method of intelligent robot visual recognition and positioning are investigated in detail. Based on the parallel institutions robot vision system experimental platform, the effective target recognition and positioning program is proposed and the image processing technology is presented in details. The method of 2D Otsu segmentation based on adaptive genetic algorithm is used in image segmentation. The experiment results have validated the effectiveness of the proposed method.
Keywords :
genetic algorithms; image recognition; image segmentation; intelligent robots; position control; robot vision; target tracking; 2D Otsu image segmentation; adaptive genetic algorithm; image processing technology; intelligent robot visual positioning; intelligent robot visual recognition; parallel institution robot vision system experimental platform; target recognition; Charge coupled devices; Hardware; Image processing; Image segmentation; Intelligent robots; Parallel robots; Robot sensing systems; Robot vision systems; Robotics and automation; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
Type :
conf
DOI :
10.1109/ICNSC.2008.4525347
Filename :
4525347
Link To Document :
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