Autonomous decentralized FMS's AGVs moving control by mind change with deep learning
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- Yamane Ryunosuke
- Department of Human Information Systems, Gifu University
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- Yamamoto Hidehiko
- Department of Mechanical Engineering, Gifu University
説明
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.
収録刊行物
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- 人工生命とロボットに関する国際会議予稿集
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人工生命とロボットに関する国際会議予稿集 26 227-230, 2021-01-21
株式会社ALife Robotics
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詳細情報 詳細情報について
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- CRID
- 1390006750774024704
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- ISSN
- 21887829
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可