Distributed task allocation is a method used in multi-robot systems where tasks are shared among multiple robots to optimize efficiency and performance. This approach allows for decentralized decision-making, meaning each robot can assess its capabilities and environment to determine the best task for itself. By distributing tasks, robots can collaborate effectively, reduce idle time, and enhance overall system productivity.
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