Autonomous Drone Swarms for Next Generation Emergency Response

Driven by advanced artificial intelligence, SAPIENCE deploys cooperative multi UAS systems to revolutionize search and rescue operations in critical environments.

SAPIENCE octocopter drone fleet in cooperative formation during an autonomous search and rescue mission
NATO Science for Peace and Security Programme logo

Project Partners

Prof. Nabil Aouf
City St George's University of London logo

Prof. Nabil Aouf

Project Lead and NATO Country Project Director

City St George's, University of London

Prof. Stephan Weiss
University of Klagenfurt logo

Prof. Stephan Weiss

Partner Country Project Director

University of Klagenfurt

Dr. Bryan Mesmer
The University of Alabama in Huntsville logo

Dr. Bryan Mesmer

Project Co Director

The University of Alabama in Huntsville

Dr. Ir. Ewoud Smeur
Delft University of Technology logo

Dr. Ir. Ewoud Smeur

Project Co Director

Delft University of Technology

SAPIENCE drone swarm mapping an unknown disaster zone using autonomous edge processing and computer vision

Solving Crisis Management Constraints

The Problem

When major disasters strike, communications drop and GNSS tracking becomes completely unreliable. Traditional first responders are forced to enter unstable and hazardous areas without any prior situational data.

Our Solution

SAPIENCE eliminates human risk by deploying intelligent and self contained drone swarms. Operating entirely on edge processing, our fleets independently map unknown structures, identify victims through computer vision, and execute automated medical delivery protocols without relying on satellite navigation or manual human control.

Core Autonomous Capabilities

SAPIENCE multi drone cooperative teaming during autonomous swarm coordination exercise

Multi Agent Teaming

True decentralized asset coordination. Drones share real time target locations, distribute search zones, and resolve flight conflicts autonomously.

SAPIENCE point cloud processing for GNSS denied navigation and obstacle avoidance

GNSS Denied Navigation

Advanced sense and avoid frameworks. Drones use onboard sensors to safely navigate shifting indoor obstacles and tight outdoor spaces without GPS.

SAPIENCE onboard sensor and computer vision array for real time target identification

Target Identification

Integrated computer vision models process tracking data instantly on the payload, detecting fiducial markers and executing automated triage protocols.

Competitions

01

2024

Competition 1

London, UK

SAPIENCE Competition 1 drone navigation in GPS denied environment in London UK

Focus on perfecting localized mapping and safe obstacle navigation within confined and GPS denied indoor spaces.

02

2025

Competition 2

Huntsville, USA

SAPIENCE Competition 2 drone fleet in simulated storm conditions in Huntsville USA

Focus on transitioning to expansive and simulated storm conditions to manage multi platform damage assessment and long distance supply logistics.

03

2026

Competition 3

Katwijk, Netherlands

SAPIENCE Competition 3 seamless indoor outdoor drone transitions in Katwijk Netherlands

Focus on deploying the fully integrated software stack to coordinate seamless transitions between indoor and outdoor search and rescue environments.