Autonomous Disaster Rescue Robot Swarm RescueSwarm Deployed in Turkey: 3x Search Efficiency Over Human Teams in 72 Hours

Robot Formations for Disaster Rescue

Turkey's Disaster and Emergency Management Authority (AFAD) today announced formal deployment of autonomous disaster rescue robot swarm RescueSwarm — the world's first large-scale heterogeneous rescue robot formation in operational readiness, comprising 50 reconnaissance drones, 100 ground search robots, and 50 rubble drilling robots coordinated through unified swarm intelligence.

The core contradiction in disaster rescue is time pressure versus safety risk. The 72-hour golden rescue window after an earthquake conflicts with the extreme instability of collapsed structures. RescueSwarm eliminates this constraint for robots.

Three Roles, One Brain

Reconnaissance drones build 3D maps using LiDAR and thermal imaging. Ground robots detect survivors using acoustic sensors and millimeter-wave radar. Rubble drilling robots — the most groundbreaking — bore through debris gaps to establish survival channels for trapped victims. All are coordinated by SwarmBrain, which integrates sensor data, builds global situational awareness, and dynamically assigns tasks.

Simulation Results

In a 72-hour large-scale earthquake rescue simulation in Ankara, RescueSwarm located and "rescued" 87% of simulated victims versus 29% for human teams. Average victim localization time was 18 minutes versus 2 hours for human teams.

Ethics and Controversy

RescueSwarm's deployment raises questions about robotic decision authority in triage scenarios. AFAD's director confirmed the triage algorithm follows medical standards but acknowledged the profound ethical implications.

AFAD plans deployment across all first-tier seismic risk provinces. Japan, Mexico, and Chile have expressed procurement interest.