News (en)

Master Degree in Industrial Engineering of Dr. Markus Brillinger

The master’s examination of Area 4.2 (Cognitive Production Systems) Area Manager DI Dr. Markus Brillinger took place on September 20, 2023, in the rooms of the smartfactory. After his first technical master’s degree (2015) and his doctorate in mechanical engineering (2018), Markus Brillinger wanted to know it again and enrolled during the pandemic to study …

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Keynote @ ImagineIKT

As part of ImagineIKT, Dr. Michael Haslgrübler, Area Manager of the “Perception and Aware Systems” area, gave a 5-minute keynote with the focus on “Developing digital technology for people”. This lecture, representative of currently ongoing FFG projects, showed the importance of the development of digital technologies for people. One focus point was to convey that …

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Large Language Model based application AERIALL presented at partner conference

Through a strategic project within Area 3 that deals with the application of Large Language Models (LLMs) in an industrial context, a first prototype has been developed and presented at the 8th Pro²Future Partner Conference on September 13, 2023. The developed application, AERIALL, allows expanding the knowledge of LLMs, which are trained on large amounts …

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GRIPS

GRIPS (Graz Robust and Intelligent Production System) is a team of students from Graz University of Technology that takes part in the Logistics League of the RoboCup. The team was founded in autumn 2015 as part of the “Construction of Mobile Robots” exercise. Students work on a practical project with a focus on robotics. The …

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Scientific Publication @ ICMCR

Muaaz Abdul Hadi, a researcher from Area 4.2 – Cognitive Production Systems, presented and published his scientific paper at the 2023 International Conference on Mechatronics, Control and Robotics held in Jeju National University, South Korea during February 18-20, 2023. The paper “Postulating a modular and light-weight approach for fuel cell stacking via cobot vacuum end-effector …

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Detection of Material Defects

Material defects are often hidden inside a workpiece and are only visible after processing in the final quality test. If you recognize them early on, processing can be stopped immediately, and valuable machine time is saved. As part of a research project by Pro²Future, Graz University of Technology and Siemens, it was possible to detect …

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