Anyone who believes that students of the technical sciences spend all their time in lecture halls and laboratories is taught otherwise at the University of Klagenfurt. Christian Bettstetter, Udo Schilcher and Melisa Midžan recently organised a trip to the Museum of Technology Vienna for the students in their course “Principles of Physics: Electricity and Magnetism“.
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.
Inertial navigation systems can be used to estimate the position, orientation and speed of robots. The Klagenfurt robotics researcher Alessandro Fornasier is working on more accurate and robust algorithms for inertial navigation systems and has recently published two papers together with international colleagues in which new approaches are presented.
Typically, drone flight data is generated under laboratory conditions – thus limiting its use for real-world application development. A team of researchers from Klagenfurt, working with two researchers from NASA’s Jet Propulsion Laboratory, has now published the first large pool of real-world measurement data. The data was generated in and around the Klagenfurt drone hall and in the context of the AMADEE20 Mars simulation in Israel.
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