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A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Huang, Ziqi ; Shen, Yang ; Li, Jiayi ; Fey, Marcel ; Brecher, Christian

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6340 [Periódico revisado por pares]

Basel: MDPI AG

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Título:
A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics
Autor: Huang, Ziqi ; Shen, Yang ; Li, Jiayi ; Fey, Marcel ; Brecher, Christian
Assuntos: Accuracy ; Architecture ; Artificial intelligence ; Automation ; Boundary conditions ; Collaboration ; deep learning ; digital shadow ; digital twin ; Digital twins ; Distributed control systems ; Environmental impact ; Factories ; Industrial applications ; Industrial robots ; Industry 4.0 ; Internet of Things ; machine learning ; Machining ; Manufacturing ; Manufacturing engineering ; Product design ; Production planning ; Productivity ; R&D ; Research & development ; Review ; Robotics ; Simulation ; Supply chain management ; Sustainable development ; Value creation
É parte de: Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6340
Notas: ObjectType-Article-2
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ObjectType-Review-1
These authors contributed equally to this work.
Descrição: Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent years and are considered by both academia and industry to be key enablers for Industry 4.0. As a digital replica of a physical entity, the basis of DT is the infrastructure and data, the core is the algorithm and model, and the application is the software and service. The grounding of DT and AI in industrial sectors is even more dependent on the systematic and in-depth integration of domain-specific expertise. This survey comprehensively reviews over 300 manuscripts on AI-driven DT technologies of Industry 4.0 used over the past five years and summarizes their general developments and the current state of AI-integration in the fields of smart manufacturing and advanced robotics. These cover conventional sophisticated metal machining and industrial automation as well as emerging techniques, such as 3D printing and human–robot interaction/cooperation. Furthermore, advantages of AI-driven DTs in the context of sustainable development are elaborated. Practical challenges and development prospects of AI-driven DTs are discussed with a respective focus on different levels. A route for AI-integration in multiscale/fidelity DTs with multiscale/fidelity data sources in Industry 4.0 is outlined.
Editor: Basel: MDPI AG
Idioma: Inglês

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A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Huang, Ziqi ; Shen, Yang ; Li, Jiayi ; Fey, Marcel ; Brecher, Christian

Basel: MDPI AG

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