Generative artificial intelligence (GenAI) and digital twin (DT) technologies have individually demonstrated valuable capabilities across a range of fields. Their integration, however, offers a unique synergy with the potential to bring meaningful advancements in various sectors. In this survey, we explore the fusion of GenAI and DT, highlighting their combined ability to enhance insights, optimizations, and innovative solutions. We begin by clarifying the core principles of each technology and then outline their collaborative applications. Furthermore, we provide a detailed taxonomy of areas where GenAI has been leveraged within the realm of DT, and conversely, where DT technology has been enhanced through GenAI techniques. By systematically categorizing these applications, we aim to offer a clear perspective on the interplay between GenAI and DT across different sectors.

Generative AI-Empowered Digital Twin: A Comprehensive Survey With Taxonomy / Chiaro, D.; Qi, P.; Antonio, Pescapé; Piccialli, F.. - In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. - ISSN 1551-3203. - 21:6(2025), pp. 4287-4295. [10.1109/TII.2025.3540473]

Generative AI-Empowered Digital Twin: A Comprehensive Survey With Taxonomy

Chiaro D.;Qi P.;Piccialli F.
2025

Abstract

Generative artificial intelligence (GenAI) and digital twin (DT) technologies have individually demonstrated valuable capabilities across a range of fields. Their integration, however, offers a unique synergy with the potential to bring meaningful advancements in various sectors. In this survey, we explore the fusion of GenAI and DT, highlighting their combined ability to enhance insights, optimizations, and innovative solutions. We begin by clarifying the core principles of each technology and then outline their collaborative applications. Furthermore, we provide a detailed taxonomy of areas where GenAI has been leveraged within the realm of DT, and conversely, where DT technology has been enhanced through GenAI techniques. By systematically categorizing these applications, we aim to offer a clear perspective on the interplay between GenAI and DT across different sectors.
2025
Generative AI-Empowered Digital Twin: A Comprehensive Survey With Taxonomy / Chiaro, D.; Qi, P.; Antonio, Pescapé; Piccialli, F.. - In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. - ISSN 1551-3203. - 21:6(2025), pp. 4287-4295. [10.1109/TII.2025.3540473]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1027546
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