Cited by 418Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyApplied Advanced Technologies

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

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Huang, Ziqi, Shen, Yang, Li, Jiayi, Fey, Marcel, Brecher, Christian·2021·Sensors

DOI 10.3390/s21196340PMC PMC8512418

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Abstract

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.

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Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization
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Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane
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Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study
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Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin
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Embedded Digital Twin for ARTI-Type Control of Semi-continuous Production Processes
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Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control
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Robot Online Learning Through Digital Twin Experiments: A Weightlifting Project
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Application and research on digital twin in electronic cam servo motion control system
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Influential

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Authors: Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C.
Affiliations: RWTH Aachen University (DE)
UBTECH North America Research and Development Center, Pasadena, CA 91101-4858, USA
University of California, Los Angeles (US)
Corresponding author: Huang, Ziqi
Shen, Yang
ORCID: Huang, Ziqi
Shen, Yang
Li, Jiayi
Fey, Marcel
Brecher, Christian
Venue: Sensors
Publisher: MDPI AG
Published: 2021-09-23
Volume: 21
Issue: 19
Pages: 6340
ISSN: 1424-8220 (ISSN-L)
DOI: 10.3390/s21196340
PMC: PMC8512418
OpenAlex: W3199754434
Cited by: 418
References: 296
Citations by year: 2026: 75 · 2025: 129 · 2024: 112 · 2023: 59 · 2022: 41 · 2021: 2
FWCI: 5.00
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Sensors (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
RWTH Publications (RWTH Aachen) (submittedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Deutsche Forschungsgemeinschaft (390621612)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
Keywords: digital twin, artificial intelligence, Industry 4.0, smart manufacturing, advanced robotics, metal machining, industrial automation, 3D printing, human-robot interaction, human-robot collaboration, sustainable development, artificial intelligence integration
MeSH terms: Algorithms, Artificial Intelligence, Automation, Humans, Industry, Robotics

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

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