Exploring human-machine collaboration in industry: A systematic literature review of digital twin and robotics interfaced with extended reality technologies

Y Feddoul, N Ragot, F Duval, V Havard… - … International Journal of …, 2023 - Springer
This systematic literature review presents the latest advancements and insights about digital
twin technology and robotics interfaced with extended reality in the context of Industry 4.0 …

Resource-Constrained eXtended reality operated with digital twin in industrial Internet of Things

HM Kamdjou, D Baudry, V Havard… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
EXtended Reality (XR) alongside the Digital Twin (DT) in Industrial Internet of Things (IIoT)
emerges as a promising next-generation technology. Its diverse applications hod the …

Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph

W Yan, Y Shi, Z Ji, Y Sui, Z Tian, W Wang… - … Applications of Artificial …, 2023 - Elsevier
In the manufacturing industry, a hydraulic system harnesses liquid fluid power to create
powerful machines. Under the trend of Industry 4.0, the predictive maintenance of hydraulic …

A novel DT-based intelligent experiment method for complex industrial products

J ** digital twin design for enhanced productivity of an automated anodizing industry and process prediction using hybrid deep neural network
V Kumar, V Manikandan, G Manavaalan… - … Applications of Artificial …, 2023 - Elsevier
Automation is beneficial when implemented in challenging environments requiring less
human effort or reducing human effort. Employee safety is a concern to increase productivity …

Research on teleoperated virtual reality human–robot five-dimensional collaboration system

Q Zhang, Q Liu, J Duan, J Qin - Biomimetics, 2023 - mdpi.com
In the realm of industrial robotics, there is a growing challenge in simplifying human–robot
collaboration (HRC), particularly in complex settings. The demand for more intuitive …

An overview on human-centred technologies, measurements and optimisation in assembly systems

R Slama, I Slama, H Tlahig, P Slangen… - … Journal of Production …, 2024 - Taylor & Francis
This paper offers an in-depth examination of the ergonomics of human-centred assembly
systems in Industry 4.0, where manual tasks remain essential. The use of advanced …

Human posture transition-time detection based upon inertial measurement unit and long short-term memory neural networks

CT Kuo, JJ Lin, KK Jen, WL Hsu, FC Wang, TC Tsao… - Biomimetics, 2023 - mdpi.com
As human–robot interaction becomes more prevalent in industrial and clinical settings,
detecting changes in human posture has become increasingly crucial. While recognizing …

[HTML][HTML] Hybrid convolutional neural network approaches for recognizing collaborative actions in human–robot assembly tasks

Z Gao, R Yang, K Zhao, W Yu, Z Liu, L Liu - Sustainability, 2024 - mdpi.com
In the context of sustainable manufacturing, efficient collaboration between humans and
machines is crucial for improving assembly quality and efficiency. However, traditional …