A comprehensive survey of augmented reality assembly research

By Xiangyu Wang, Soh-Khim Ong, Andrew Yeh-Ching Nee. Advances in Manufacturing, 2016

441 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/81988b81cd0cb46c6845f7e818cc13f706e6c396

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In Computer Vision and Pattern Recognition

In Industrial and Manufacturing Engineering

In Human-Computer Interaction

Citations in the corpus

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “Guiding and providing monitoring support for assembly tasks [147], [148], improving the safety of factory workers via MAR based instructions [149] makes MAR an essential part of Industry 4.0 operation.”
A research agenda for augmented and virtual reality in architecture, engineering and construction (2020, background): “Wang et al. [183] presented a systematic review of the use of AR for assembly support.”
A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard (2018, background): “Furthermore, a comprehensive review of AR-based assembly processes can be found in [73].”
Augmented reality technology in the manufacturing industry: A review of the last decade (2019, background): “Among the technical aspects, bare-hand solutions have been implemented quite frequently in industry, especially in the field of assembly (Ong and Wang 2011; Ng et al., 2013; Wang et al ., 2016c).”
The impact of augmented reality on cognitive load and performance: A systematic review (2021, background): “…technology, engineering and mathematics education (Ibáñez & Delgado-Kloos, 2018), medical and health care education (Pugoy et al., 2016; Zhu et al., 2014) as well as for skills acquisition in assembly (Wang et al., 2016), manufacturing (Bottani & Vignali, 2019) and surgery (Meola et al., 2017).”
Contextual expectations in the real-world modulate low-frequency neural oscillations (2025, unknown): “While AR has been utilised to study assembly systems (Wang et al., 2016), pedagogy (Saidin et al., 2015), and treatment of psychological disorders (Chicchi Giglioli et al., 2015), a relatively novel approach is to use mobile EEG and head-mounted AR together, to study the neural processes…”