Augmented reality applications in design and manufacturing
By Andrew Yeh-Ching Nee, Soh-Khim Ong, George Chryssolouris, Dimitris Mourtzis. 2012
722 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/168be7aeb008a524e9fbd586f5aa150c4fbd497a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Tariq Masood
- John W. Egger
- Eleonora Bottani
- Giuseppe Vignali
- Tiago M. Fernández-Caramés
- Paula Fraga-Lamas
- Miguel Vilar-Montesinos
- Óscar Blanco-Novoa
In Industrial and Manufacturing Engineering
- Tariq Masood
- John W. Egger
- Andrew Yeh-Ching Nee
- Ray Y. Zhong
- Xiangyu Wang
- Yongkui Liu
- Soundar Kumara *
- Roberto Teti
In Mechanical Engineering
- John W. Egger
- Tariq Masood
- Xun Xu
- Soundar Kumara *
- George Chryssolouris
- John Ahmet Erkoyuncu
- D. Dimitrov
- Roberto Teti
Citations in the corpus
- Symbiotic human-robot collaborative assembly (2019, background): “AR technologies are also applied to robot path planning and trajectory planning to arrive at collision-free solutions [178,38].”
- A systematic review of augmented reality applications in maintenance (2018, background): “Haption devices have been considered in AR for enhancing the interaction with the virtual objects [44].”
- A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard (2018, methodology): “Nevertheless, according to numerous sources [17]–[19], it will take a few years until IAR reaches the maturity level to be fully deployed in industrial applications.”
- Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications (2018, background): “The same applies in the case of maintenance tasks, where real-time troubleshooting and spare parts purchase actions with all relevant information and functions are enabled to maintenance personnel [170, 175].”
- A research agenda for augmented and virtual reality in architecture, engineering and construction (2020, background): “Nee et al. [122] described how AR could be used to support collaborative design, in which various users interact with a single virtual model instead of using physical mock-ups.”
- Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives (2018, background): “AR-enabled real-time visibility allows end users to visualize machine data that are projected onto a real machining scene [69].”
- A comprehensive survey of augmented reality assembly research (2016, background): “The latency issue refers to the alignment errors of the virtual objects caused by the difference in time between the moment an observer moves and the time when the image corresponds to the new position of the observer is displayed [8].”
- Augmented reality technology in the manufacturing industry: A review of the last decade (2019, background): “2015), design (Nee et al ., 2012; Yin et al ., 2015), safety/ergonomics (Hovanec et al. , 2014) and food logistics (Vanderroost et al ., 2017).”
- Augmented reality in support of Industry 4.0 - Implementation challenges and success factors (2019, methodology): “AR can be used for design and manufacturing applications [14], assembly operations, either in training [6, 15] or as an online guidance system for operators [9, 16, 17].”
- The internet of things for smart manufacturing: A review (2019, background): “However, AR augments the real-world, physical environment with computer inputs such as instructions, sound, video, or graphics (Nee et al. , 2012).”
- Biologicalisation: Biological transformation in manufacturing (2018, background): “Sensors and actuators, in combination with (big) data analysis, artificial intelligence, digital twins, large scale (real-time) simulation, data visualisation by virtual and augmented reality are all elements coming together in an integrated way of instructing, monitoring and controlling our manufac”