Environment & Energy

The success of the energy revolution depends to a large extent on the digitalization of the increasingly complex energy networks. AI technologies have enormous potential for predicting energy demand, analyzing the relevant mass data and optimizing the interaction between generation, network, storage and consumption. To this end, concepts and solutions are developed to establish process models for critical infrastructures in the energy sector and to implement them in a secure integrated data and service platform. Forecasting methods based on these models support a secure energy supply and the security of energy systems.


Robotersystem für die Dekontamination in menschenfeindlichen Umgebungen

ROBDEKON stands for "Robot systems for decontamination in hostile environments" and is dedicated to research in the field of autonomous or semi-autonomous robot systems. It is coordinated by the...

To the research project
BEAR - Battery electric waste management with robotic assistance

The society is faced with the challenge of changing energy supply and energy consumption to be less polluting. The urgency of this objective arises not only because of the climatic changes caused by...

To the research project