Team flyby wins Best 3D Mapping Award at ENRICH!
We’re excited to announce that Team flyby won the Best 3D Mapping Award at ENRICH 2025!

We’re excited to announce that team flyby—a team of students from TU Wien and the non-profit robotics club robo4you.at—has won the Best 3D Mapping Award at ENRICH 2025!
ENRICH is an international robotics competition that aims to accelerate the development of innovative robotic solutions for high-risk radiological and nuclear environments where human intervention is too dangerous. This year marks the 5th time that ENRICH has taken place, and at a fitting (yet unusual) venue: The hackathon was held at the nuclear power plant in Zwentendorf, the only nuclear power plant in the world that is fully built but has never been activated. The plant remains completely intact, offering a uniquely realistic yet hazard-free environment for testing robotic systems under extreme and challenging conditions.
ENRICH is organized by the Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE), the Austrian Armaments and Defence Technology Agency (ADTA), EVN, and European Robotics. At ENRICH 2025, over 15 teams from around the world competed in four categories that tested their robotic systems’ ability to navigate, sense, and operate in challenging radiological and nuclear environments: Radiation Mapping, 3D Mapping, Manipulation, and Search and Rescue.
Flying a Drone in a Nuclear Power Plant
Operating a drone inside a nuclear power plant presents unique technical challenges, and this year, the competition was even more demanding, as both aerial and ground robots shared the same dynamic and complex environment. The Radiation Mapping task was mandatory for all teams, as it builds the foundation of the competition, and yes—real radioactive sources were used! These sources, placed throughout the power plant by the Austrian Armed Forces, were only accessible by robots, creating a high-stakes scenario for locating and mapping their position and radiation intensity. In the 3D Mapping category, teams needed to create detailed spatial maps of the power plant using autonomous systems. This year, for the first time, both ground robots and aerial drones operated in the same environment, with some areas only accessible to aerial robots, creating unique navigation challenges. Meanwhile, in the Manipulation and Search and Rescue tasks, ground robots were tasked with opening and closing valves and rescuing human-sized dummies weighing up to 70 kg.
The main mission involved flying a drone through narrow corridors with multiple turns, then ascending 18 meters into the turbine hall to continue mapping and identifying radiation sources. To ensure precise and safe navigation, the team developed custom control software that combined human inputs with onboard autonomy. The operator selected waypoints, and the drone autonomously navigated to them while avoiding obstacles, collecting radiation data, and building the 3D map in real time. Reliable communication was key to success: Due to the thick concrete walls, high-bandwidth transmission was impossible. The team tackled this with a highly efficient software module that cached, compressed, and prioritized data before transmission. This included strongly compressed video streams and lean updates of the 3D map. Depending on the use case, they reduced bandwidth needs only about 1 Mbps for two video feeds or as low as 50 kbps when transmitting only essential mapping data. Team flyBy was the only team to successfully complete a full autonomous flight through the entire environment while generating a high-quality 3D map, ultimately earning them the award for Best 3D Mapping.
The team extends its thanks to Radu Grosu, head of the Research Unit Cyber-Physical Systems at TU Wien Informatics, and Dr. Michael Stifter (robo4you) for their continuous support, as well as to ENRICH organizers Frank Schneider (FKIE) and Brigadier Janisch (Director of the ADTA).
Team Members
- Sebastian Kawicher (student @TU München)
- Joel Klimont (PhD student under Radu Grosu
- Leo Pichelbauer (student @HTL Wiener Neustadt)
- Stefan Schmikal (student @HTL Wiener Neustadt)
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