Decentralised, Self-Organising Drone Swarms using Coupled Oscillators

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.

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Publication Details

Journal
arXiv (Cornell University)
Published
2025-05-01
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
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article

Decentralised, Self-Organising Drone Swarms using Coupled Oscillators

arXiv (Cornell University)
Distributed Control Multi-Agent Systems
article

Decentralised, Self-Organising Drone Swarms using Coupled Oscillators

article en

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.

arXiv (Cornell University)
Trinity College Dublin (IE)
Openalex Percentile: Top 46%
Distributed Control Multi-Agent Systems
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