Drones gain digital pain signals

Researchers at Delft University of Technology and Wageningen University developed early warning indicators called critical slowing down for drones. The system detects instability in quadrotors by analyzing real-time sensor data without predictive models or historical baselines. Testing showed the technology flags control loss when rotor blades reach fifteen percent tip damage before failure occurs.