UK researchers test robotic dogs and AI for early wildfire detection

Researchers at the University of Bradford are preparing to pilot an AI-enabled wildfire detection system that uses robotic dogs, drones, and emerging 6G networks to identify early signs of fire and alert emergency services.

The trial, set to take place in Greece in 2025, is part of the EU-funded 6G-VERSUS research project, which explores how next-generation connectivity can support crisis response.

According to project lead Dr Kamran Mahroof, wildfires have become a ‘pressing global challenge’ due to rising frequency and severity. The team intends to combine sensor data collected by four-legged robotic platforms and aerial drones with AI models capable of analysing smoke, vegetation dryness, and early heat signatures. High-bandwidth 6G links enable the near-instantaneous transmission of this data to emergency responders.

The research received funding earlier this year from the EU’s Horizon Innovation Action programme and was showcased in Birmingham during an event on AI solutions for global risks.

While the West Yorkshire Fire and Rescue Service stated that it does not currently employ AI for wildfire operations, it expressed interest in the project. It described its existing use of drones, mapping tools, and weather modelling for situational awareness.

The Bradford team emphasises that early detection remains the most effective tool for limiting wildfire spread. The upcoming pilot will evaluate whether integrated AI, robotics, and next-generation networks can help emergency services respond more quickly and predict where fires are likely to ignite.

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