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Market-based multirobot coordination for complex tasks

机译:基于市场的多机器人协调以完成复杂任务

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Current technological developments and application-driven demands are bringing us closer to the realization of autonomous multi-robot systems performing increasingly complex missions. However existing methods of distributing mission subcomponents among multirobot teams do not explicitly handle the required complexity and instead treat tasks as simple indivisible entities, ignoring any inherent structure and semantics that such complex tasks might have. These task properties can be exploited to produce more efficient team plans by giving individual robots the ability to come up with new, more localized ways to perform a task; by allowing multiple robots to cooperate by sharing the subcomponents of a task; or both. In this paper, we describe the complex task allocation problem and present a distributed solution for efficiently allocating a set of complex tasks among a robot team.
机译:当前的技术发展和应用驱动的需求使我们更接近于执行日益复杂的任务的自主多机器人系统。但是,在多机器人团队之间分配任务子组件的现有方法并未明确处理所需的复杂性,而是将任务视为简单的不可分割的实体,而忽略了此类复杂任务可能具有的任何固有结构和语义。通过使各个机器人具有提出新的,更本地化的方式来执行任务的能力,可以利用这些任务属性来产生更有效的团队计划。通过允许多个机器人通过共享任务的子组件进行协作;或两者。在本文中,我们描述了复杂任务分配问题,并提出了一种分布式解决方案,用于在机器人团队之间高效地分配一组复杂任务。

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