Drone Swarm Optimisation

How do multiple drones coordinate without central control?

Exploring how collective behaviour emerges when autonomous agents interact through simple rules.

Swarm intelligence Autonomous systems Decentralised coordination
Problem

Coordinating multiple agents at scale.

As systems grow, coordinating multiple agents becomes increasingly complex.

This project explores how coordination can emerge without central control.

Context

Inspired by natural collective behaviour.

Simple local interactions can lead to organised global behaviour.

  • Local decisions shape outcomes.
  • Roles emerge dynamically.
  • Systems adapt continuously.
Approach

From interaction to coordination.

Agents adjust behaviour through repeated interaction.

  • Distributed decisions
  • Emergent behaviour
  • Adaptive movement
Outcome

Emergent coordination.

Coordinated behaviour can arise without central control.

Understanding collective intelligence.

Simple rules. Complex behaviour.

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