A novel MR remote collaborative assembly system using reconstructed attribute-enhanced product models DOI

Quan Yu,

Shuxia Wang,

Qiang Zhang

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: 135(7-8), P. 3903 - 3940

Published: Nov. 2, 2024

Language: Английский

Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis DOI Open Access
Ginés Morales Méndez, Francisco del Cerro Velázquez

Electronics, Journal Year: 2024, Volume and Issue: 13(6), P. 1147 - 1147

Published: March 21, 2024

Augmented reality (AR) technology is making a strong appearance on the industrial landscape, driven by significant advances in technological tools and developments. Its application areas such as training assistance has attracted attention of research community, which sees AR an opportunity to provide operators with more visual, immersive interactive environment. This article deals analysis integration context fourth revolution, commonly referred Industry 4.0. Starting systematic review, 60 relevant studies were identified from Scopus Web Science databases. These findings used build bibliometric networks, providing broad perspective applications The presents current existing challenges future directions applied based literature review citation network analysis. highlight growing trend research, particular focus addressing overcoming associated its implementation complex environments.

Language: Английский

Citations

5
Indoor Infrastructure Maintenance Framework Using Networked Sensors, Robots, and Augmented Reality Human Interface DOI Creative Commons
Alireza Fath,

Nicholas Hanna,

Yi Liu

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(5), P. 170 - 170

Published: May 15, 2024

Sensing and cognition by homeowners technicians for home maintenance are prime examples of human–building interaction. Damage, decay, pest infestation present signals that humans interpret then act upon to remedy mitigate. The process has direct effects on sustainability economic vitality, as well the health well-being building occupants. While practices date back antiquity, they readily submit augmentation improvement with modern technologies. This paper describes use networked smart technologies embedded machine learning (ML) presented in electronic formats better inform occupants about safety issues, recommend courses remedial action. demonstrated include robotic sensing confined areas, LiDAR scans structural shape deformation, moisture gas sensing, water leak detection, network ML, augmented reality interfaces multi-user teaming capabilities. sensor information passes through a private local dynamic processors neural pattern recognition capabilities abstract information, which feeds conventional device interfaces. system serves testbed demonstrator technologies, what can be termed Home Maintenance 4.0.

Language: Английский

Citations

4
Tools for a Root Cause Analysis for Safety–Critical Components, A Review DOI
Csenge Huszák, Péter Pinke, Tünde Anna Kovács

et al.

Advanced sciences and technologies for security applications, Journal Year: 2025, Volume and Issue: unknown, P. 347 - 368

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impact of Augmented Reality on Assistance and Training in Industry 4.0: Qualitative Evaluation and Meta-Analysis DOI Creative Commons
Ginés Morales Méndez, Francisco del Cerro Velázquez

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4564 - 4564

Published: May 26, 2024

In the context of Industry 4.0, industrial environments are at a crossroads, facing challenge greater flexibility and significant technical skills gaps. this situs, Augmented Reality (AR) emerges as transformative tool, enhancing synergy between staff emerging technologies. This article focuses on exploring integration AR in with particular emphasis its role improving assistance training. The research addresses ways which not only facilitates more efficient processes but also acts an essential bridge for training development constantly changing technological environments. It investigates impact both optimising work workers to meet challenges 4.0. Through qualitative analysis, studies categorised according their application domains, grouping them into specific thematic areas. Subsequently, meta-analysis is conducted determine actual sector. findings reveal positive correlation implementation effectiveness framework Finally, delves analysis current limitations challenges, providing insights possible developments trends use

Language: Английский

Citations

3
The Concept of a System Supporting the Implementation of an Intelligent Lubrication Strategy Within the Company Using Advanced Information Technologies DOI
Mariusz Piechowski, Ryszard Wyczółkowski, Waldemar Paszkowski

et al.

Lecture notes in mechanical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 136 - 150

Published: Jan. 1, 2024

Language: Английский

Citations

2
Maintenance 4.0 Technologies for Sustainable Manufacturing DOI Creative Commons
Małgorzata Jasiulewicz–Kaczmarek

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(16), P. 7360 - 7360

Published: Aug. 21, 2024

Manufacturing companies are navigating two pivotal trends that significantly impact their operations: sustainability and digitalization [...]

Language: Английский

Citations

2
Augmented Reality Guided 3D Printed Robotic Arm Assembly: A Comprehensive Framework for Interactive Learning DOI
Radu Comes, Zsolt Buna, Raul Silviu Rozsos

et al.

Mechanisms and machine science, Journal Year: 2024, Volume and Issue: unknown, P. 297 - 305

Published: Jan. 1, 2024

Language: Английский

Citations

1
A novel MR remote collaborative assembly system using reconstructed attribute-enhanced product models DOI

Quan Yu,

Shuxia Wang,

Qiang Zhang

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: 135(7-8), P. 3903 - 3940

Published: Nov. 2, 2024

Language: Английский

Citations

0