Projects

The current design and use of cities is not adapted to the consequences of climate change. It is scientifically known which scenarios are to be expected and how cities need to be changed in order to r

FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi

With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary aggregates with recycled (RC) aggregates, natural

Growth of data centers and their capacities is central to economies as digital transformation needs computing power. But processing data and training large AI models generates tons of CO2 and consumes

More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and decision-makin

New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO Approximately 1.6 million tonnes of ammunition, mainly

A new framework for experimentation-driven analytics Extreme data characteristics represent a challenge for advanced data-driven analytics and decision-making in critical domains such as crisis manage

CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful implementation in the forestry industry and the assessme

Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil spi

The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient indus