The UAS field of research ranges over areas such as artificial intelligence, robot technology, control, perception, software and embodiment - all with focus on these main research directions:
- Autonomous UAS flying BVLOS (beyond visual line of sight): The development of drones that autonomously navigate the environment in a safe and reliable manner, sensing and avoiding any obstacles in their path.
- Large-scale perception: The development of techniques for automatically extracting specific and detailed information from UAV-mounted camera systems.
- System modeling: The development of formal models of single UAVs, improving control and power management, as well as models of multiple UAVs, enabling coordination and traffic management.
- Energy-efficient systems: The development of energy-efficient algorithms and components that extend the flight time and operating distance of UAV.
Some of these activities take place at H.C. Andersen Airport, where the Faculty runs a drone laboratory that works with research, education, test flights and societal activities.
The research in UAS can be divided into five different themes/topics anchored in different research units: