The Trace Algorithm of Mobile ]Robot System Using Neural Network

  • Kim, Seong-Joo (School of Electrical and Electronic Engineering, College of Engineering, Chung-Ang University) ;
  • Nam, Seong-Jin (School of Electrical and Electronic Engineering, College of Engineering, Chung-Ang University) ;
  • Seo, Jae-Yong (School of Information and Technology Engineering University of Tech. & Edu.) ;
  • Cho, Hyun-Chan (School of Information and Technology Engineering University of Tech. & Edu.) ;
  • Jeon, Hong-Tae (School of Electrical and Electronic Engineering, College of Engineering, Chung-Ang University)
  • Published : 2002.07.01

Abstract

In this paper, we propose the self-autonomous algorithm for mobile robot system (MRS). The proposed mobile robot system which is learned by learning with the neural network can trace the target at the same distances. The mobile robot can use ultrasonic sensors and calculate the distance between target and mobile robot. By teaming the setup distance, current distance and command velocity, the robot can do intelligent self-autonomous drive. We use the neural network and back-propagation algorithm as a tool of learning. As a result, we confirm the ability of tracing the target with proposed mobile robot.

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