Author: Bernhard Rinner

News

PhD defense of Petra Mazdin

Today Petra Mazdin successfully defended her PhD thesis entitled Communication-Aware Multi-Robot Coordination for Simultaneous Coverage. The committee was composed by Prof. Christian Bettstetter (chair), Prof. Daniele Nardi (Sapienza University of Rome) and Prof. Hermann Hellwagner. Petra conducted her PhD within the Karl Popper Kolleg on Networked Aerial Autonomous Vehicles and […]

ResearchTopics

Multidrone flight demonstration

The University of Klagenfurt launched the Karl Popper Doktorats- und Wissenschaftskolleg “Networked Autonomous Aerial Vehicles (NAV)“ in October 2017; having completed a cycle of just under four years, it is now coming to an end. Stephan Weiss, who serves as the speaker of the programme, reflects on a success story: […]

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Using self-awareness to explore the world

by Karen Meehan for the magazine ad astra; photo: goinyk/Adobestock Bernhard Rinner, Professor for Pervasive Systems at the Institute of Networked and Embedded Systems, describes the fascination and challenges associated with a highly topical interdisciplinary research field. Self-driving cars, networked devices within the Internet of Things, software programmes such as […]

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Multidrone systems: More than the sum of the parts

Now that drones have evolved from bulky platforms to agile devices, a challenge is to combine multiple drones into an integrated autonomous system, offering functionality that individual drones cannot achieve. Rinner, Bettstetter, Hellwagner, Weiss. Multidrone systems: More than the sum of its parts. Computer 54(5):34-43, 2021. The paper „Multidrone systems: […]

ResearchTopics

Multidrone constellation changes

Planning the simultaneous movement of multiple agents represents a challenging coordination problem, and ideally safety and efficiency are jointly addressed. In his master thesis, Paul Ladinig developed a planning algorithm for fast and energy-efficient trajectories with reduced collision potential from a start to an end constellation. This new approach combines […]

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Coalition formation and task assignment in MRS

Multi-robot systems (MRS) accomplish many missions with different complexities, and their applications range from search-and-rescue and surveillance to transportation and entertainment. In many missions, multiple robots need to cooperate to complete tasks. The workflow of these multi-robot tasks involves forming coalitions of robots, assigning them to available tasks, and jointly […]