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/works › Article in conference proceedings › Research › peer-review
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Advancing Learning Factories: Enabling Future-Ready Skills: Proceedings of the 15th Conference on Learning Factories, 2025. ed. / Louis Louw; Vera Hummel; Imke de Kock; Konrad von Leipzig; Vera Hummel. Springer Science and Business Media Deutschland, 2025. p. 3-10 (Lecture Notes in Networks and Systems; Vol. 1546 LNNS).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Advancing Learning Factories
T2 - 15th International Conference on Learning Factories, CLF 2025
AU - Geiser, Alexander
AU - Stamer, Florian
AU - Lanza, Gisela
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/9/27
Y1 - 2025/9/27
N2 - 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.
AB - 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.
KW - Mobile Base-Stations
KW - Modular Production Systems
KW - Semi-Automated Processes
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105018664986&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-98883-7_1
DO - 10.1007/978-3-031-98883-7_1
M3 - Article in conference proceedings
AN - SCOPUS:105018664986
SN - 978-3-031-98882-0
T3 - Lecture Notes in Networks and Systems
SP - 3
EP - 10
BT - Advancing Learning Factories: Enabling Future-Ready Skills
A2 - Louw, Louis
A2 - Hummel, Vera
A2 - de Kock, Imke
A2 - von Leipzig, Konrad
A2 - Hummel, Vera
PB - Springer Science and Business Media Deutschland
Y2 - 25 March 2025 through 28 March 2025
ER -