Advancing Learning Factories: Reworking the Semi-automated Stations of the Learning Factory to Provide a Framework for Research, Education and Industry Collaboration in Modern Manufacturing

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Learning Factories provide a dynamic platform for research, education, and industry-research collaboration. In this paper, we present a new framework developed to transform the Learning Factory into a modern environment for student education, industry collaboration, and cutting-edge research. The hardware of the existing Learning Factory has been and will continue to be upgraded to incorporate the latest advances such as collaborative robotics, 3D cameras and electronic joining modules, alongside a redesigned base station. These improvements will enable research and interactive teaching in new areas such as artificial intelligence and machine vision in robotic manufacturing, training of robotic processes in physics simulations, training of object detectors with synthetic data, automatic defect detection and quality assurance. Other key areas include the reuse of remanufactured components in the production of new parts and the development of camera-based safety systems. In addition, the mobile, interactive and self-contained stations enable the recruitment and promotion of young talent in manufacturing engineering.

Original languageEnglish
Title of host publicationAdvancing Learning Factories: Enabling Future-Ready Skills : Proceedings of the 15th Conference on Learning Factories, 2025
EditorsLouis Louw, Vera Hummel, Imke de Kock, Konrad von Leipzig, Vera Hummel
Number of pages8
PublisherSpringer Science and Business Media Deutschland
Publication date27.09.2025
Pages3-10
ISBN (print)978-3-031-98882-0
ISBN (electronic)978-3-031-98883-7
DOIs
Publication statusPublished - 27.09.2025
Event15th International Conference on Learning Factories, CLF 2025 - Stellenbosch, South Africa
Duration: 25.03.202528.03.2025

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

    Research areas

  • Mobile Base-Stations, Modular Production Systems, Semi-Automated Processes
  • Engineering