First alumni of the Bachelor’s programme in Robotics and Artificial Intelligence

The English-taught programme in Robotics and Artificial Intelligence is the newest Bachelor’s programme offered by the Faculty of Technical Sciences at the University of Klagenfurt. Since the winter semester of 2022/23, students from all over the world have been coming here to complete this forward-looking programme. Now, after six semesters, the first graduates have completed the programme in Robotics and Artificial Intelligence within the minimum period of study. Three alumni, Samuele Ghizzo, Tim Schumann and Gilbert Tanner, talk about their studies and their plans for the future. Read more →

Flying to victory with the best drones

Gilbert Tanner is part of the SAPIENCE team at the University of Klagenfurt, a group consisting of six young students and researchers who are working on new approaches to the use of drones in search and rescue operations. However, the student, who is pursuing a Bachelor’s degree in Robotics & Artificial Intelligence, is not only launching drones into the air, but also striving for lofty goals himself: he will soon complete his studies in the shortest possible time and will then move on to pursue a Master’s degree programme at ETH Zurich.

Team from the University of Klagenfurt wins drone competition in Huntsville, USA

Exploring and mapping an environment, locating objects and people in need, and finally bringing them first aid kits: these are the tasks set in three competitions in the SAPIENCE project. Four research teams from four universities compete against each other in these competitions in order to learn from each other. The team led by Luca Di Pierno achieved its first victory in the competitions, which took place in Huntsville, USA.

Robots gain new function: algorithm automatically recognises sensors and their mathematical modelling

Robots need localisation algorithms to figure out where they are. These algorithms usually work with sensor data, which can be used to calculate their position. For engineers and researchers, figuring out how a sensor is built, what format the sensor data is in, and how the sensor is calibrated on a robot can be quite a challenge. Christian Brommer and his team at the Control of Networked Systems research group at the University of Klagenfurt have developed a new method that eliminates the need for all of this: the algorithm automatically recognises the sensor model and calculates important data for localisation.