基于多智能体系统理论，研究在非结构、不确定环境下面向复杂任务的多机器人分布式协调系统的实现原理、方法和技术。

Based on the multi_agent system theory, we studied the theory, method and technology of the multi-robot distributed coordination systems performing complex tasks in uncertain environment.

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这意味着可以大大减少跨分布式系统协调系统升级的时间、成本和麻烦。

That can mean a significant savings in the time, cost, and hassle of coordinating system upgrades across a distributed set of systems.

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源于分布式人工智能的多智能体系统，以其突出的灵活性和适用性，被应用于多机器人协调系统领域。

Multi-agent system based on distributed AI has a lot of outstanding performance such as flexible, applied, etc. So it has been applied in many fields.

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