Article
Chemistry, Multidisciplinary
Mario Ortega, Eugenio Ivorra, Alejandro Juan, Pablo Venegas, Jorge Martinez, Mariano Alcaniz
Summary: The MANTRA system is a new AR system designed specifically for industrial maintenance tasks. It can automatically align virtual information and temperature on any 3D object in real time, utilizing a combination of deep learning and model-based pose tracking techniques.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Mechanical
Janos Simon, Laszlo Gogolak, Jozsef Sarosi, Igor Furstner
Summary: This paper focuses on implementing AR-based maintenance approaches using Industry 4.0 technology. The objective is to highlight the benefits of AR in maintenance and provide a framework for implementing AR-based maintenance systems. AR can assist maintenance personnel by providing real-time instructions and information, improving the quality of work and reducing human errors. The proposed application utilizes AR and telepresence technologies to provide motorcycle service assistance, including remote monitoring, automated part identification, 3D modeling, and parts ordering.
Article
Chemistry, Analytical
Alice Lo Valvo, Daniele Croce, Domenico Garlisi, Fabrizio Giuliano, Laura Giarre, Ilenia Tinnirello
Summary: In recent years, the advancement in augmented reality systems and computer vision algorithms has enabled mainstream smartphones to accurately estimate their own motion in 3D space. This technology has been utilized to support autonomous mobility for people with visual disabilities, identifying virtual paths and providing context information for navigation.
Article
Engineering, Electrical & Electronic
Chang-Hun Chae, Nam-Joon Jung, Kwang-Hee Ko
Summary: The scale and complexity of power facilities require professional expertise for inspection and maintenance, leading to significant time and effort investment. Korea Electric Power Corporation has implemented augmented reality technology in various facilities to enhance work productivity and facilitate effective collaboration.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Ana Malta, Mateus Mendes, Torres Farinha
Summary: This study introduces a task assistant model based on a deep learning neural network that utilizes YOLOv5 for car part recognition. A dataset of car engine images was created and the neural network was trained to detect parts in real time, showing high accuracy in detection. Additionally, an object recognition system using augmented reality glasses was also designed.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Wen-Jye Shyr, Chi-Jui Tsai, Chia-Ming Lin, Hung-Ming Liau
Summary: This study introduces and evaluates an augmented reality approach for equipment maintenance and diagnostics, which has shown success in helping engineering and technology graduate students understand concepts and use augmented reality technology.
Article
Chemistry, Multidisciplinary
Natalia Koteleva, Vladislav Valnev, Ilia Frenkel
Summary: This paper investigates the effectiveness of the collaboration between augmented reality and dynamic simulation systems in oil pump maintenance and validates the effectiveness of such collaboration through application testing.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie, Tong Zhou, Liping Wang, Yejia Song
Summary: This paper proposes an intelligent predictive maintenance approach for machine tools, which utilizes multiple services within a single framework. It combines Convolutional Neural Network and Long Short-Term Memory for fault prediction, and adopts deep reinforcement learning for production control. The use of Augmented Reality technology and maintenance experience database provides visibility guidance and remote expert services, improving the efficiency of machine tool maintenance.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Green & Sustainable Science & Technology
Xiao-Wei Liu, Cheng-Yu Li, Sina Dang, Wei Wang, Jue Qu, Tong Chen, Qing-Li Wang
Summary: The maintenance training method based on VR and AR technology has advantages in improving training effectiveness and cost-saving. However, further research is needed on how to choose training methods for multi-level tasks.
Article
Chemistry, Multidisciplinary
Fangfang Lu, Hao Zhou, Lingling Guo, Jingjing Chen, Licheng Pei
Summary: The paper introduces an ARCore-based augmented reality campus navigation system, which utilizes AR technology and visual inertial ranging algorithm to achieve real-time positioning of 3D information and map generation, enhancing user navigation experience. Experimental results demonstrate the effectiveness and usability of the system for campus learning.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Manal A. Yahya, Ajantha Dahanayake
Summary: Augmented Reality aims to enhance the real world with computer-generated information, with current experiences relying on external elements. This research proposes triggering AR experiences based on human needs, showing effectiveness but requiring a well-established dataset for accurate predictions and recommendations.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
Hisham Iqbal, Fabio Tatti, Ferdinando Rodriguez y Baena
Summary: This study successfully integrated AR technologies within an existing robot-assisted surgical platform without significant negative effects on two quantitative metrics of surgical performance, while also receiving positive feedback on usability and ergonomic evaluation criteria from users.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Chemistry, Multidisciplinary
Kaixuan Wang, Lim Wei Yap, Shu Gong, Ren Wang, Stephen Jia Wang, Wenlong Cheng
Summary: As augmented reality (AR) and virtual reality (VR) technology become commercially available, there is potential for skin sensory interface to serve as the next-generation AR/VR technology. Nanowire-based soft wearable HMI sensors and other emerging technologies like soft contact lenses, haptic force actuators, and feedback mechanisms offer a more comfortable and immersive experience for future AR/VR systems.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Health Care Sciences & Services
Shin-Yan Chiou, Zhi-Yue Zhang, Hao-Li Liu, Jiun-Lin Yan, Kuo-Chen Wei, Pin-Yuan Chen
Summary: This paper introduces an augmented reality surgical navigation system that accurately superimposes the surgical target position, scalpel entry point, and scalpel direction on a patient's head and displays this data on a tablet. The designed system meets clinical requirements and provides a visual and intuitive guide for neurosurgeons.
Review
Chemistry, Multidisciplinary
Carlos E. Mendoza-Ramirez, Juan C. Tudon-Martinez, Luis C. Felix-Herran, Jorge de J. Lozoya-Santos, Adriana Vargas-Martinez
Summary: This article is a systematic literature review on augmented reality (AR) technology, aiming to explore the limitations and implementation challenges of applying AR technology in engineering and other fields. The review discusses the state-of-the-art AR techniques, potential use cases, and barriers to widespread adoption, while also identifying future research directions and opportunities for innovation in this rapidly evolving field. It serves as a compilation of existing technologies, particularly useful for beginners in AR or developers seeking to innovate or implement new technologies, providing insights into the limitations and current challenges that may arise.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Industrial
X. Wang, A. W. W. Yew, S. K. Ong, A. Y. C. Nee
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Engineering, Manufacturing
S. K. Ong, A. Y. C. Nee, A. W. W. Yew, N. K. Thanigaivel
ADVANCES IN MANUFACTURING
(2020)
Article
Engineering, Industrial
M. M. L. Chang, A. Y. C. Nee, S. K. Ong
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Computer Science, Interdisciplinary Applications
S. K. Ong, A. W. W. Yew, N. K. Thanigaivel, A. Y. C. Nee
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
Article
Engineering, Manufacturing
S. K. Ong, X. Wang, A. Y. C. Nee
ADVANCES IN MANUFACTURING
(2020)
Article
Computer Science, Interdisciplinary Applications
C. Y. Siew, M. M. L. Chang, S. K. Ong, A. Y. C. Nee
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Review
Engineering, Industrial
S. K. Ong, M. M. L. Chang, A. Y. C. Nee
Summary: Disassembly sequence planning (DSP) is a challenging research area that has attracted significant attention from researchers worldwide. New solutions are continuously proposed to tackle the complexities of disassembling products, with advancements in computing and introduction of new concepts like virtual reality. Survey papers in the past 12 years have focused on product representation models, sequencing algorithms, and methodology validation in DSP research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Manufacturing
C. Y. Siew, S. K. Ong, A. Y. C. Nee
Summary: This paper presents an adaptive human-machine interface that provides maintenance information and guidance tailored to the expertise level of the operator. By capturing the operator's heart rate, intention, and expertise level through sensors, the system can infer the operator's state and enhance their ability to perceive information and perform tasks through visual, audio, and haptic guidance cues. Various cues are developed based on best practices obtained from experienced operators.
ADVANCES IN MANUFACTURING
(2021)
Editorial Material
Chemistry, Multidisciplinary
A. Y. C. Nee, S. K. Ong
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
F. He, S. K. Ong, A. Y. C. Nee
Summary: The advancement in digitalization and information communication technologies has changed how humans interact with digital information, requiring a reinvention of the way people interact with smart devices to help novice operators comprehend and interact with device data. A mobile augmented reality remote monitoring system is proposed in this research, utilizing cloud-based data analysis and machine learning algorithms to transform knowledge into interactive real-time presentations for users.
Article
Computer Science, Interdisciplinary Applications
Jiazhen Pang, S. K. Ong, A. Y. C. Nee
Summary: This study proposes a stage identification method based on on-site assembly sequence and stage model sequence, which can effectively improve the accuracy and efficiency of assembly stage identification by using time and assembly progress logic.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Manufacturing
Y. K. Liu, S. K. Ong, A. Y. C. Nee
Summary: Digital twin (DT) is a promising emerging technology that leverages big data and IoT to aid various industries in comprehensive monitoring and diagnostics. Despite the lack of standardization in its definition, the interest in DT remains high. Augmented reality (AR) is a suitable technology for data visualization and interaction with DTs.
ADVANCES IN MANUFACTURING
(2022)
Article
Engineering, Industrial
Lei Huang, Yuehong Yin, Soh Khim Ong
Summary: This paper proposes a novel deep generative model based on imaginal thinking to achieve the creative leap from the functional domain to the physical domain, and verifies the effectiveness of the model in designing wheels for mobile robots through an experiment.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Hai-Long Xie, Qing-Hui Wang, S. K. Ong, Jing-Rong Li, Zi-Peng Chi
Summary: This paper presents an adaptive intelligent human-robot collaborative approach to improve trajectory planning for robotic belt grinding of complex parts. The approach combines the experience of skilled operators with robots to enhance trajectory planning efficiency and ground surface quality.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Proceedings Paper
Computer Science, Cybernetics
Tom Williams, Daniel Szafir, Tathagata Chakraborti, Ong Soh Khim, Eric Rosen, Serena Booth, Thomas Groechel
HRI'20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION
(2020)
