Automated Task and Path Management for Industrial AGVs in Foam Manufacturing Plant
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- Phunopas Amornphun
- Faculty of Engineering, King Mongkut’s University of Technology North Bangkok
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- Jitviriya Wisanu
- Faculty of Engineering, King Mongkut’s University of Technology North Bangkok
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- Pudchuen Noppadol
- Faculty of Engineering, King Mongkut’s University of Technology North Bangkok
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- Tunsiri Songklod
- Urban Community Development College, Navamindradhiraj University
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- Hayashi Eiji
- Computer Science and Systems Engineering, Kyushu Institute of Technology
説明
AGVs are increasingly used in the automated warehouse with a high demand for changing traditional workflow management to industrial 4.0. The heart of the computerized system is the central software that can distribute work functions from the queues and manage the AGVs' traffic. On the 2D floor plant layout, the girds are initially from marked points or the place that AGVs have to transit to do an assigned task. This research proposes autonomously generating paths via four nearest grids and path switching scenarios. The results show the generated paths with sequential tasks concurrently in random conditions. The task management method can prevent the AGVs' crash and bottleneck from the operation of nine machines in the foam manufacturing plant.
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 25 473-476, 2020-01-13
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
- 1390846609806478720
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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