Since the pandemic, working out at home in front of the computer has become a habit for many. But are these exercises, be they for rehabilitation or athletic purposes, being performed correctly? Roman Dorrek is developing software that can identify whether individual movements are being performed in the most beneficial way possible.
Alessandro Fornasier’s work involves helping robots and drones to navigate the world. As part of his PhD project, he used the theory of ‘equivariant systems’ to develop localisation algorithms that are more robust and accurate. In recognition of his research in the Control of Networked Systems working group, he has now been honoured with the ‘Award of Excellence’ presented by the Austrian Federal Ministry of Education, Science and Research.
Wheelchair users find stairs and steps difficult to navigate, preventing them from access to all areas. Similarly, people with impaired vision find life more difficult when there are no tactile floor markings. Kathrin Arndt is a student member of the EU Erasmus+ Project INDICO, which aims to make it easier for people with learning difficulties to access the digital world. In response to the question of what the metaphorical stairs and missing floor markings represent for people with learning difficulties, we learn: “For our target group, the language we use online is a barrier. If we want to enable people with learning difficulties to participate in the digital space on an equal footing, we need what is known as simple language.”
To explore new terrain and perform tasks autonomously, be it in the air, on the ground or under water, robotic vehicles need to know where they are and what their surroundings are like. As part of his research for his doctorate, Christian Brommer, a member of the research group ‘Control of Networked Systems’ at the University of Klagenfurt, has developed a modular and robust framework model that is designed to maximise the autonomy of robotic vehicles exploring unknown terrain.
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