Production plants are highly complex systems. Identifying the optimal sequence of machines and production steps not only saves a lot of money, but also contributes to energy and resource efficiency. Using Infineon Technologies Austria AG as an example, researchers at Lakeside Labs GmbH and the University of Klagenfurt are developing new algorithms to improve the efficiency of factories.
Working together in the FWF project “Self-organizing synchronization with stochastic coupling”, Udo Schilcher, Jorge Schmidt, Arke Vogell and Christian Bettstetter co-authored the publication “Swarmalators with stochastic coupling and memory”. This paper won the Karsten Schwan Best Paper Award at the IEEE International Conference on Autonomic Computing and Self-Organising Systems (ACSOS) on 30 September 2021, a prize that recognises the best paper presented at the conference.
Scientists working on the research project SWILT are developing Industry 4.0 algorithms inspired by nature.
What has travelled by road to reach us until now could be delivered by drones in the future. This has many advantages: Poor rural transport infrastructure or persistent congestion in large cities can be bypassed. In 2013, Amazon was among the first to announce the intention to deliver goods using small autonomous drones. But when might this technology truly become part of our daily lives? Drone researcher Pasquale Grippa provides some answers.