Researchers from the University of Klagenfurt’s Control of Networked Systems group have developed an algorithm that automatically recognises the type, position, and orientation of sensors—eliminating the need for manual identification and calibration in robotic systems. Published in IEEE Transactions on Robotics, the method enables drones, autonomous vehicles, and other robots to seamlessly integrate new sensors without prior knowledge of their specifications.
The algorithm works with a wide range of sensors, from GPS modules to magnetometers and speedometers, and only requires some movement for detection, which can be performed in a lab or during operation. This innovation addresses a significant demand, with over 14,000 related developer requests recorded on GitHub, and promises faster, more robust localisation solutions for engineers and researchers worldwide.
Source: University of Klagenfurt
About the Author
