Swarm algorithms can improve production planning and scheduling

Industrial companies face an enormous challenge when it comes to the highly interconnected nature of their production facilities. These exhibit complex and dynamic behaviour, as can be observed in ants, bees, fish or birds. Inspired by models found in nature, the SWILT project models entire industrial plants as swarms. Three years on, we now have the results of the project: The simulations revealed that the overall performance of a large production planning system can be improved by a percentage in the single digits, which can represent significant financial gains for businesses.

MPEG DASH video streaming technology co-developed in Klagenfurt wins Technology & Engineering Emmy® Award

The Emmy® Awards do not only honour the work of actors and directors, but they also recognise technologies that are steadily improving the viewing experience for consumers. This year, the winners include the MPEG DASH Standard. Christian Timmerer (Department of Information Technology) played a leading role in its development. Read more →

Working towards the full exploitation of 5G potential: Research team creates “Carinthian Fog”

The 5G Playground Carinthia provides researchers with an open laboratory to explore the possibilities of this new mobile technology. There is a hitch: Although 5G facilitates the rapid transmission of large amounts of data, this data also needs to be processed. Outsourcing this computing power to a cloud data centre results in time lags. Using what is known as “Carinthian Fog”, a research team funded by the Austrian Research Promotion Agency (FFG) seeks to develop an alternative that can move data processing closer in terms of distance.

Helping us to understand where a robot is located: The University of Klagenfurt is granted a patent for a new modular sensor fusion technology

Along with the inventors, Christian Brommer and Stephan Weiss, the dronehub in Klagenfurt has recently been granted another patent. Weiss and Brommer perform research in the Control of Networked Systems (CNS) group with a focus on how to improve localization and navigation methods for robots and small helicopters.