U of M Tests AI Drones to Fight Wildfires – Minnesota
MINNESOTA (trfnews.i234.me) – Researchers at the University of Minnesota are developing drones powered by artificial intelligence to help fight and prevent wildfires across the region and beyond.
The university’s Aerrol Robotics Team is testing a swarm of AI-equipped drones designed to analyze smoke patterns, map terrain, and predict the direction and behavior of wildfires. The technology uses real-time data to track fire movement, wind speed, and atmospheric changes to assist firefighters with faster decision-making and safer strategies.
One researcher explained, “The big picture is to one day understand where wildfires go, how they behave, and to perform large-scale surveillance of wildfires.”
The project aims to advance aerial wildfire monitoring, which has become increasingly critical as climate change continues to intensify droughts and increase the risk of large-scale fires across the U.S. and Canada.
The drones can communicate with one another, sharing data to create a full picture of fire activity in real time. This swarm-based approach could allow emergency crews to respond more effectively and minimize property damage and loss of life.
Researchers say the technology could eventually integrate with satellite imagery and ground-based sensors to enhance wildfire forecasting systems used by state and federal agencies.
For more information on the University of Minnesota’s ongoing innovation and robotics programs, visit the College of Science and Engineering website.
I’m Chris Harper reporting for TRF News.
