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2 years ago in Robotics By Vishwas Rao

How is distributed clustering achieved in swarm robotics?

Through what specific behaviors or rules do swarm robots achieve clustering in a fully distributed manner?

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By Kumar Answered 8 months ago

Distributed clustering uses local communication and rules without a central leader. Common algorithms include density-based approaches like DBSCAN, where robots become core points if they have enough neighbors within a radius. Bio-inspired methods mimic ant or bee behavior, using random walks and pheromone-inspired signaling to form clusters. Robots may also use consensus on a shared feature (like a common light source) to group. The key is that each robot decides its cluster based only on interactions with nearby peers.

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