Multi-robot coordination is the set of methods that enable multiple robots to act together coherently toward shared or individual goals, covering task allocation, collision avoidance, formation control, and communication. It addresses centralised and decentralised architectures and trades off optimality against scalability and robustness. Applications include warehouse fleets, drone swarms, and cooperative exploration.
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- Centralised schemes optimise globally but scale poorly and form single points of failure, whereas decentralised and market-based methods trade some optimality for robustness and scalability. Reliable coordination depends on consistent localisation, communication, and conflict resolution among the fleet’s planners.