AURA
Project Overview
About
AURA is an AI-powered system that uses coordinated drone swarms to detect wildfires within 10 minutes and autonomously suppress them. Combining thermal and visual sensors with advanced computer vision, detection drones scan large areas while heavy-lift suppression drones deliver targeted retardants. Built from modular, off-the-shelf hardware and open-source software, AURA is cost-effective, scalable, and adaptable to varied terrains. By enabling 24/7 monitoring and rapid response, it offers a transformative solution to wildfire management
Team
Dr. Sabine Hauert
Lyudmila Mihaylova
Sid Reid
Sabine Hauert
Georgios Tzoumas
University of Bristol
Georgios is a researcher with a PhD in swarm intelligence, specializing in autonomous drone swarms for wildfire detection and mitigation. He leads AURA, a semi-finalist team in the prestigious XPRIZE Wildfire competition, pioneering the use of UAV swarms to prevent and combat destructive wildfires. His work bridges swarm intelligence with real-world applications, addressing one of the most pressing consequences of climate change. Beyond AURA, he founded PROTEAS, an initiative that fosters collaboration and collective responsibility, ensuring technological innovation aligns with societal challenges to build resilience, protect ecosystems, and contribute to a sustainable future.
Duncan Hine
Aditya Shrikhande
Yinan Shi
Tom Richardson
Gallery
