Dynamic Scheduling of Crane by Embedding Deep Reinforcement Learning into a Digital Twin Framework

Dynamic Scheduling of Crane by Embedding Deep Reinforcement Learning into a Digital Twin Framework

This study proposes a digital twin (DT) application framework that integrates deep reinforcement learning (DRL) algorithms for the dynamic scheduling of crane transportation in workshops. DT is used to construct the connection between the workshop service system, logical simulation environment, 3D v...

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Bibliographic Details
Main Authors: Zhenyu Xu, Daofang Chang, Miaomiao Sun, Tian Luo
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Information
Subjects:
digital twin
deep reinforcement learning
crane
dynamic scheduling
Online Access:https://www.mdpi.com/2078-2489/13/6/286

Internet

https://www.mdpi.com/2078-2489/13/6/286

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