Integrating Augmented Reality and Artificial Intelligence in Assembly Tasks: A Review of Strategies, Tools, and Challenges
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| Title: | Integrating Augmented Reality and Artificial Intelligence in Assembly Tasks: A Review of Strategies, Tools, and Challenges |
|---|---|
| Language: | English |
| Authors: | Ana Ester Garcia de Paiva Pinheiro (ORCID |
| Source: | Turkish Online Journal of Educational Technology - TOJET. 2025 24(3):33-53. |
| Availability: | Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: https://tojet.net/ |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Computer Simulation, Artificial Intelligence, Technology Uses in Education, Technology Integration, Industry, Manufacturing, Man Machine Systems, Robotics, Foreign Countries |
| Geographic Terms: | China, Romania, Italy, North America, Asia, Europe, Australia |
| ISSN: | 1303-6521 2146-7242 |
| Abstract: | The integration of Augmented Reality (AR) and Artificial Intelligence (AI) is a growing subject in the technological field, especially when applied to benefit assembly tasks. This paper presents a Systematic Literature Review to explore the benefits, challenges, methods and tools in the utilization of AR and AI to assembly tasks applications. The study selected 27 relevant publications from the period between 2019 and January 2025 to identify strategies reported in the literature to implement AR and AI to assembly processes. The results show that the integration of these technologies was used mainly in the sectors of industry and manufacturing and the AI was employed mostly to object detection through deep learning models. This review highlights the possibility of utilization of integrating AR and AI for a diversity of fields and the necessity to implement automatic real time fault detection for error minimization and productivity enhancement. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1482975 |
| Database: | ERIC |
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