| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.77 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Digital Twins (DTs) are cutting-edge technological
design principles of Industry 4.0. They elevate the representation
level of physical systems backed up by accurate real-time data
in virtual environments and empower the simulation capabilities
of these systems through Artificial Intelligence (AI) for their
analysis, monitoring, and optimization. This work comprehensively
explores the intrinsic interaction between simulation and
AI in DTs, meticulously covering the current literature status
and categorizing these symbiotic interactions into three different
groups that cover AI to support DT-based simulation, AI for
optimization of simulation within DT, and simulation to support
AI approaches in DT. In addition, a deeper look is taken at
the role of simulation and AI in the emerging concept of the
Industrial Metaverse, which promises to extend DTs beyond
discrete virtual representation of physical systems to encompass
the industrial ecosystem from end-to-end. Finally, the main
research challenges for achieving the full integration of simulation
and AI in DTs and at the Industrial Metaverse are discussed.
Description
Keywords
Digital Twin Simulation Artificial Intelligence Machine Learning Industrial Metaverse
Citation
Júnior, Alexandre O.; Calvo-Rolle, José Luis; Leitao, Paulo (2024). Simulation on Digital Twin: Role of Artificial Intelligence and Emergence of Industrial Metaverse. In 33rd International Symposium on Industrial Electronics (ISIE). IEEE, p. 1-6. ISBN 979-8-3503-9408-5
Publisher
IEEE