Real-Time AGVs moving control of Autonomous decentralized FMSby mind change with deep learning

Abstract

This study describes the control method of Automated Guided Vehicles (AGV) movements by using a mind model in order to avoid AGVs interferences. The mind uses the two types of mind, the arrogant mind and the modest mind model. The interferences between AGVs are avoided by repeating the two types of mind changes, the arrogant mind and the modest mind. The mind model includes the deep learning system. By the mind including the deep learning, we can improve the decrease of the route interference time.