Structure of the Research Unit

	Project Title	Project Lead	Institution	Research Area
F	Management and quantification of maturity improvement	Beyerer, Käfer, Pfrommer	IES / KIT	AI techniques: Overarching approach for the fast AI-based maturation of immature processes
T1	Construction kit and building blocks for the fast improvement of immature processes	Fleischer, Henning	wbk / KIT	Production technology: Flexible, modular, adaptive, trainable production processes, systems and robots
T2	Physics-based process evaluation and decision support for structural process improvement	Kärger, Fleischer, Henning	FAST / KIT	Production technology: Physics-based process simulation and decision support for process experts
M1	Systematic over- instrumentation	Henning, Beyerer	FAST / KIT	AI techniques: Systematic planning of additional process instrumentation with sensors and actuators
M2	Learning of dynamical process models based on data and expert knowledge	Neumann, Kärger, Pfrommer	ALR / KIT	Machine learning
M3	State- and parameter-space exploration and process optimisation	Pfrommer, Hanebeck, Neumann	IOSB / FhG	AI techniques: ML-based simulation and optimal control design
M4	Efficient and accurate state estimation and feedback control under uncertainties	Hanebeck, Neumann	ISAS / KIT	AI techniques: State- and parameter-space exploration and process optimisation
C	Coordination, central support and infrastructure	Beyerer	IES / KIT	Project coordination