Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Integrating Augmented Reality and Artificial Intelligence in Assembly Tasks: A Review of Strategies, Tools, and Challenges

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read Online Read More Add to Saved list
  • Author(s): Ana Ester Garcia de Paiva Pinheiro (ORCID Ana Ester Garcia de Paiva Pinheiro (ORCID 0009-0004-8352-0577); Ana Regina Mizrahy Cuperschmid (ORCID Ana Regina Mizrahy Cuperschmid (ORCID 0000-0002-6792-174X)
  • Language:
    English
  • Source:
    Turkish Online Journal of Educational Technology - TOJET. 2025 24(3):33-53.
  • Publication Date:
    2025
  • Document Type:
    Journal Articles
    Information Analyses
  • Additional Information
    • 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
    • Source:
      21
    • Subject Terms:
      Computer Simulation; Artificial Intelligence; Technology Uses in Education; Technology Integration; Industry; Manufacturing; Man Machine Systems; Robotics; Foreign Countries
    • Subject 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.
    • Abstract:
      As Provided
    • Publication Date:
      2025
    • Accession Number:
      EJ1482975