DocumentCode
3456187
Title
Design of Obstacle Modal Discrimination System Based on the Neural Network
Author
Liu, Hui ; Lin, Jianyi ; Li, Qian
Author_Institution
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
fYear
2009
fDate
3-5 Aug. 2009
Firstpage
623
Lastpage
626
Abstract
This paper is mainly to discriminate the obstacle models that the robot may meet by using BP neural network. The essential work autonomous mobile robot should complete includes path planning, localization and obstacle avoidance, and this paper has laid the foundation for these tasks. The result of computer simulation indicates that the design has achieved the expected task to judge the obstacle models.
Keywords
backpropagation; collision avoidance; control engineering computing; mobile robots; neural nets; BP neural network; autonomous mobile robot; backpropagation neural network; computer simulation; obstacle modal discrimination system; path planning; Computer simulation; DC motors; Distance measurement; Infrared sensors; Mobile robots; Neural networks; Robot sensing systems; Robotics and automation; Testing; Turning; BP network; obstacle models; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3739-9
Type
conf
DOI
10.1109/IJCBS.2009.50
Filename
5260484
Link To Document