A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics

Z Huang, Y Shen, J Li, M Fey, C Brecher - Sensors, 2021 - mdpi.com
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 …

Towards next generation digital twin in robotics: Trends, scopes, challenges, and future

A Mazumder, MF Sahed, Z Tasneem, P Das, FR Badal… - Heliyon, 2023 - cell.com
With the advent of Industry 4.0, several cutting-edge technologies such as cyber-physical
systems, digital twins, IoT, robots, big data, cloud computation have emerged. However, how …

[HTML][HTML] A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence

F Mo, HU Rehman, FM Monetti, JC Chaplin… - Robotics and Computer …, 2023 - Elsevier
Digital twins and artificial intelligence have shown promise for improving the robustness,
responsiveness, and productivity of industrial systems. However, traditional digital twin …

Digital twin for smart manufacturing: A review of concepts towards a practical industrial implementation

L Lattanzi, R Raffaeli, M Peruzzini… - International Journal of …, 2021 - Taylor & Francis
Latest trends and developments in digital technologies have enabled a new manufacturing
model. Digital systems can monitor, optimize and control processes by creating a virtual …

Industry application of digital twin: From concept to implementation

X Fang, H Wang, G Liu, X Tian, G Ding… - The International Journal …, 2022 - Springer
With the development of artificial intelligence, big data, Internet of Things, and other
technologies, digital twin has gained great attention and become a current research topic …

A robot arm digital twin utilising reinforcement learning

M Matulis, C Harvey - Computers & Graphics, 2021 - Elsevier
For many industry contexts, the implementation of Artificial Intelligence (AI) has contributed
to what has become known as the fourth industrial revolution or “Industry 4.0” and creates an …

Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction

D Lee, SH Lee, N Masoud, MS Krishnan… - Advanced Engineering …, 2022 - Elsevier
In order to accomplish diverse tasks successfully in a dynamic (ie, changing over time)
construction environment, robots should be able to prioritize assigned tasks to optimize their …

Digital twin and virtual reality based methodology for multi-robot manufacturing cell commissioning

L Pérez, S Rodríguez-Jiménez, N Rodríguez… - Applied sciences, 2020 - mdpi.com
Featured Application The results of the work may find applications in process automation
design, implementation, and commissioning. Abstract Intelligent automation, including …

Human–robot collaboration trends and safety aspects: A systematic review

J Arents, V Abolins, J Judvaitis, O Vismanis… - Journal of Sensor and …, 2021 - mdpi.com
Smart manufacturing and smart factories depend on automation and robotics, whereas
human–robot collaboration (HRC) contributes to increasing the effectiveness and …

Artificial intelligence in the digital twins: State of the art, challenges, and future research topics

Z Lv, S Xie - Digital Twin, 2022 - digitaltwin1.org
Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud
computing, digital twins, and edge computing have been applied in various fields as …