Decentralised, Self-Organising Drone Swarms using Coupled Oscillators
Kevin Quinn, Cormac Molloy, Harun \v{S}iljak

TL;DR
This paper introduces a decentralized, self-organizing drone swarm system based on coupled oscillators, enhancing flexibility, resilience, and scalability in dynamic environments with minimal communication interference.
Contribution
It presents a novel approach using coupled oscillators for autonomous drone swarm coordination, enabling spontaneous formation and adaptive behavior without central control.
Findings
Swarm can spontaneously form with variable drone numbers
System maintains cohesion despite environmental changes
Communication interference is effectively minimized
Abstract
The problem of robotic synchronisation and coordination is a long-standing one. Combining autonomous, computerised systems with unpredictable real-world conditions can have consequences ranging from poor performance to collisions and damage. This paper proposes using coupled oscillators to create a drone swarm that is decentralised and self organising. This allows for greater flexibility and adaptiveness than a hard-coded swarm, with more resilience and scalability than a centralised system. Our method allows for a variable number of drones to spontaneously form a swarm and react to changing swarm conditions. Additionally, this method includes provisions to prevent communication interference between drones, and signal processing techniques to ensure a smooth and cohesive swarm.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
