Flying Robot Teams Could Soon Save Lives After Disasters

Researchers built a system called TriSAR where five drones work together like a rescue squad after disasters such as earthquakes. Think of them as flying helpers that quickly scan damaged buildings to spot survivors or hazards, without bumping into each other or the environment.

The team ran tests in a simulated city hit by an earthquake, giving the drones tasks like checking specific buildings. They compared two ways to assign tasks: a quick ‘greedy’ method that picks the nearest target, and a more complex genetic algorithm that tries to optimize the whole route. They also tested whether the drones avoided collisions using a simple ‘repulsion’ rule—they automatically steer away if they get too close.

The results were surprising. When the repulsion feature was turned on, collisions dropped to zero no matter which task-assignment method was used. The smarter algorithm only showed an advantage when collision avoidance was turned off—which means the ‘repulsion’ trick alone was safer and just as fast. This suggests that for real disaster missions, keeping drones simple and safe might be better than making them overly smart.

The findings could help emergency teams deploy robotic search parties faster and with fewer risks. Instead of sending human rescuers into unstable buildings, teams could send in coordinated drone teams first, saving time, lives, and resources.