Drones and robots struggle to navigate autonomously in the dark and in dusty settings. Researchers at the University of Klagenfurt are now developing a new technology that relies on radar sensors for navigation.
Agata and Michał Barciś and their fellow researcher from RTB House in Poland, Michał Jagielski, competed in the Drone Bot Contest at the Deep Drone Challenge in Ingolstadt, Germany on Saturday 7 August 2021. The competition is organised by start-up incubator brigkAIR and Europe’s largest aircraft manufacturer Airbus. The three young scientists were delighted to receive a prize of 25,000 euros.
Drones are increasingly being deployed as autonomous actors in uncontrolled environments. This requires reliable control and navigation. The research team at the University of Klagenfurt led by Stephan Weiss and Jan Steinbrener, which also includes doctoral student Christoph Böhm, is now working on improving the drone’s self-awareness so that it becomes better at adapting to changing conditions in the future.
Commercial drones usually come equipped with modest on-board computing power. Consequently, their speed and agility are somewhat limited when they use their cameras like eyes to navigate in space. Samira Hayat, a researcher at the Department of Information Technology, recently joined forces with colleagues from other departments and Deutsche Telekom to investigate the effects of offloading computation to the edge of the network (edge computing).
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