AI for manufacturing
The KI-Net project is an Interreg research project (2020-01-01 to 2022-06-30) in which we broadly investigate methods of artificial intelligence and related methods in the application domain of manufacturing. This project is lead by SCCH with Univ. of Innsbruck, HS Kempten, TH Rosenheim and FH Salzburg as consortial partners.
Besides original research the main focus at Interreg projects is at the dissemination and demonstration of prototypes with a focus on SMEs.
My working group in Salzburg is developing a demonstrator for methods of artificial intelligence, digital twins and robotics by means of an Nine Mens Morris game played by robots and or humans. It will demonstrate:
- computer vision and natural language processing
- some methods for AI-based game play (maybe including reinforcement learning)
- a model-driven system architecture based on OPC UA to enable remote game play over the internet and the integration of multiple vendors
- employment of digital twins
Beyond this main task that is targeted towards dissemination, we also investigate the following research questions:
Can we leverage established machine learning frameworks such as TensorFlow to improve numerical optimization tasks in automation industry, such as optimizing cam profiles?
How can we use reinforcement learning to optimize trajectories of industrial robots?