About This Project
As part of the FLAIROP project, Festo will leverage federated learning and use our Explainable AI (XAI) for a number of potential industrial applications. The innovative two-year initiative combines deep learning, robotics, and data security expertise from Festo SE & Co. KG and the Karlsruhe Institute of Technology (KIT) with XAI and optimization specialization from DarwinAI and the University of Waterloo (UW).
This project is supported in part by advisory services and research and development funding support from the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) in Canada and the Federal Ministry of Economic Affairs and Energy (BMWi) in Germany.
FLAIROP is expected to enable new manufacturing possibilities and automation efficiencies within production lines that use robotics solutions. Through the project, Festo, DarwinAI, and other partners are creating meaningful data and performance analysis to show the significant benefits, practical scalability, and compounding network effects of an innovative new approach. Importantly, the federated learning technique ensures compliance with Europe’s General Data Protection Regulations (GDPR) data processing and storage requirements.