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

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

Content Provider	MDPI
Author	Huang, Ziqi Shen, Yang Li, Jiayi Fey, Marcel Brecher, Christian
Copyright Year	2021
Description	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.
Starting Page	6340
e-ISSN	14248220
DOI	10.3390/s21196340
Journal	Sensors
Issue Number	19
Volume Number	21
Language	English
Publisher	MDPI
Publisher Date	2021-09-23
Access Restriction	Open
Subject Keyword	Sensors Manufacturing Engineering Artificial Intelligence Machine Learning Deep Learning Digital Twin Digital Shadow Industry 4.0 Sustainability Sustainable Smart Manufacturing Robotics Review
Content Type	Text
Resource Type	Article

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