Automating and optimising industrial production
Manufacturing poses a wide range of interesting control challenges. Our research interests span from optimising production robots such as pick-and-place machines to improving performance of 3D printers with optimal feedback control. See the related articles below to learn about the different challenges. We will keep adding contents as we go.
Cooperative game theory for energy sharing in energy communities - by Saurabh Vaishampayan
How to combine safe and reliable control with high-performance learning-based strategies - by Nicolas Kirsch
How autonomous vehicles find the safest path by thinking like a lamp - by Simone Baratto
How to optimally schedule district heating operation to support the electricity grid - by Giacomo Mastroddi and Marco Muttoni
How to decide upon groceries daily and what this has to do with time-varying optimisation problems - by Xian Li
Getting away with mistakes and applying this to the energy transition - by Sven Neubauer
How to increase the transmission capacity of the electric power grid efficiently and economically - by Samuel Renggli
Learning to adjust a control algorithm without giving up what we already know - by Jonas Ohnemus