The research group investigates data-driven decision-making processes at the intersection of digital systems and operational efficiency. Key focus areas include digital logistics, intelligent transportation systems, and sustainable robotics applications – for example, in manufacturing, public transport, data centers, or agri-PV systems.

Methodologically, the research combines operations research, machine learning, and emerging technologies such as digital twins, virtual reality, and quantum computing.

Key questions include:

• How can methods from OR, AI, and emerging technologies be effectively combined?

• How do robots influence operational processes, and how can safe human-robot collaboration be achieved?

The new RoboX Lab enables hands-on research and teaching in the field of robotics and supports the development of innovative, sustainable solutions for business and society.