제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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- Pages.279-279
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- 2000
신경회로망을 이용한 지능형 로봇 제어 시스템 설계
Design of an Intelligent Robot Control System Using Neural Network
초록
In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts fur the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C31 DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algorithm. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell fur automatic test and assembling in S company.