| Title: | GS5-2 Autonomous decentralized FMS's AGVs moving control by mind change with deep learning |
|---|---|
| Publication: | ICAROB2021 |
| Volume: | 26 |
| Pages: | 227-230 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2021.GS5-2 |
| Author(s): | Ryunosuke Yamane, Hidehiko Yamamoto |
| Publication Date: | January 21, 2021 |
| Keywords: | Autonomous decentralized FMS, AGV with a mind, Deep learning |
| Abstract: | This study describes the control method of Automated Guided Vehicles (AGV) movement by using a mind model in order to avoid AGVs interferences by using two types of mind , the arrogant mind and the modest mind model, the interferences can be avoided by repeating the two types of mind changes. This study develops the new mind model. The model includes deep learning. By the mind of the model of this new method, we can improve the decrease of the route interference time. |
| PDF File: | https://alife-robotics.co.jp/members2021/icarob/data/html/data/GS/GS5/GS5-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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