The aim of this project is (1) the research and development of new planning and control concepts based on the combination of classic methods of planning and control with methods of artificial intelligence (especially machine learning) for production scenarios with very high volatility and variability with regard to product variants, order quantities, raw material/part quality, with a simultaneous high degree of automation and a high degree of human-machine collaboration, (2) the development of a configurable simulator and demonstrator that allows production companies to use various decentralized planning and control concepts enriched with AI for production scenarios with high variability and To test, evaluate and further develop volatility in terms of product variants, order quantities, raw material/part quality (development and test bench for AI-enhanced production planning and control concepts). This project is funded by the FFG as part of the COIN construction FH for the economy program.
Within this project together with the Würzburg-Schweinfurt University of Applied Sciences, a network is being set up with partner universities worldwide with the aim of linking the teaching content of participating robotics courses from Asia and Europe, creating a common digital learning environment and networking students and teachers in order to promote intercultural exchange.