Pioneering Moth-like Drones: A Leap in Autonomous Navigation
Exciting advancements are happening at the University of Cincinnati, where Assistant Professor Sameh Eisa and his students have developed a revolutionary moth-like drone. This cutting-edge creation navigates autonomously without relying on AI, using an extremum-seeking feedback system that can be miniaturized for covert applications.
Key Features:
- Moth-like Efficiency: Mimics the hovering and agile flight of moths, adjusting to movement in real-time.
- Model-Free Navigation: Operates without complex calculations or GPS, achieving stability while following light sources.
- Scalable Design: Ideal for small, covert surveillance missions and future UAV applications.
Through this work, researchers delve into animal-inspired engineering, revealing how simple feedback mechanisms could redefine biophysics and aerial tech.
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