Swarm Synergy: Silent Community Formation in Multi-Robot Systems

Overview

Swarm Synergy presents a novel approach for silent community formation in multi-robot systems, where robots autonomously organize into cohesive groups without explicit communication. The system leverages local sensing and implicit coordination mechanisms inspired by biological swarms to achieve emergent collective behaviors.

Key Features

• Communication-free coordination through local sensing
• Scalable to large swarm sizes (100+ robots)
• Robust to robot failures and dynamic environments
• Energy-efficient operation with minimal computational overhead
• Provably convergent community formation algorithms

Technical Approach

The framework uses graph-based representations of robot neighborhoods and implements decentralized control laws that rely solely on local observations. Each robot maintains a local view of its surroundings and adjusts its behavior based on the relative positions and movements of nearby robots. The approach guarantees convergence to stable community structures under mild assumptions on sensing range and robot density.

Applications

This work enables robust swarm coordination in communication-denied or bandwidth-limited environments:

• Underwater robot swarms with limited acoustic communication
• Large-scale environmental monitoring
• Disaster response in GPS-denied environments
• Warehouse automation with minimal infrastructure