Autonomous Planning and Decision-making

Artificial intelligence methods are ideally suited for modeling situations in planning and decision-making processes that would be too complex to model using traditional techniques. The focus here is on the integration of uncertainties, domain knowledge, and foresight in order to generate robust autonomous planning and decision systems are created.

The group "Autonomous Planning and Decision Making" is concerned with the development of intelligent systems for the automated control of heterogeneous systems––from the actuator of individual production machines to the production strategy in large networks of machines and plants. The goal is to develop AI-based models for representing system behavior and dynamics in a fast and efficient manner. These models build the foundation for the optimization of complex production processes. Our methods can be applied at all levels of the automation pyramid, so that machine processes can be designed in an automated way and optimized production strategies can be determined. The well-known disadvantages of “uncertain” AI are overcome by means of latest research findings, such as the incorporation of probabilistic uncertainties or the creation of explainable models. This ensures a reliable application in practice.