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
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;
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
DOI :
10.1109/IJCBS.2009.50
