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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.

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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

  • 会议论文

  • 发表日期：

    2025年

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  • Alexander Geiser,
  • Florian Stamer,
  • Gisela Lanza

摘要

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.