Swarm Intelligence & Multi-Robot Systems

Focuses on the coordination and decision-making of distributed robotic teams operating in dynamic environments.

Key Topics

• Swarm robotics and coordination
• Cooperative control algorithms
• Multi-robot task allocation and scheduling
• Counter-swarm strategies
• Pursuit-evasion games

Overview

Our research in Swarm Intelligence seeks to understand how simple, decentralized agents can produce complex, robust behaviors. By mimicking natural swarms, we develop algorithms that allow multiple Unmanned Aerial Vehicles (UAVs) and ground robots to navigate, search, and map areas collaboratively without relying on a central command.