Hidehiko Yamamoto1, Ryunosuke Yamane2
1Department of Mechanical Engineering, Gifu University, Yanagido 1-1, Gifu,
Gifu 501-1194, Japan
2JR Tokai Information Systems Company, Ohzone, Higashi-ku, Nagoya, Japan
pp. 32–36
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.
ARTICLE INFO
Article History
Received 23 October 2020
Accepted 13 May 2021
Keywords
Autonomous decentralized FMS
AGV
Mind
Deep learning
JAALR2107
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