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Task assignment with dynamic perception and constrained tasks in a multi-robot system

机译:在多机器人系统中具有动态感知和约束任务的任务分配

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摘要

In this paper we present an asynchronous distributed mechanism for allocating tasks in a team of robots. Tasks to be allocated are dynamically perceived from the environment and can be tied by execution constraints. Conflicts among team mates arise when an uncontrolled number of robots execute the same task, resulting in waste of effort and spatial conflicts. The critical aspect of task allocation in Multi Robot Systems is related to conflicts generated by limited and noisy perception capabilities of real robots. This requires significant extensions to the task allocation techniques developed for software agents. The proposed approach is able to successfully allocate roles to robots avoiding conflicts among team mates and maintaining low communication overhead. We implemented our method on AIBO robots and performed quantitative analysis in a simulated environment.
机译:在本文中,我们提出了一种异步分布式机制,用于在一组机器人中分配任务。分配的任务是从环境中动态地感知到的,并可能受到执行约束的束缚。当数量不受控制的机器人执行同一任务时,队友之间就会发生冲突,这会浪费精力和空间冲突。多机器人系统中任务分配的关键方面与真实机器人的有限且嘈杂的感知能力所产生的冲突有关。这要求对为软件代理开发的任务分配技术进行重大扩展。所提出的方法能够成功地为机器人分配角色,从而避免队友之间的冲突并保持较低的通信开销。我们在AIBO机器人上实现了我们的方法,并在模拟环境中进行了定量分析。

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