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Priority-Based Meta-control within Hierarchical Task Network Planning

机译:分层任务网络规划中基于优先级的元控制

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We are developing real-time planning and control systems that allow a single human operator to control a team of unmanned aerial vehicles (UAVs). If the operator requests more tasks than can be immediately addressed by the available UAVs, our planning system must choose which goals to try to achieve, and which to postpone for later effort. To make this decision-making easily understandable and controllable, we allow the user to assign strict priorities to goals, ensuring that if a goal is assigned the highest priority, the system will use every resource available to try to build a successful plan to achieve that goal. In this paper we show how unique features of the SHOP2 hierarchical task network planner permit an elegant implementation of this priority queue behavior. Although this paper is primarily about the technique itself, rather than SHOP2's performance, we assess the scalability of this priority queue approach and discuss potential directions for improvement, as well as more general forms of meta-control within SHOP2 domains.
机译:我们正在开发实时计划和控制系统,使单个操作员可以控制一组无人飞行器(UAV)。如果操作员要求的任务超出可用无人机无法立即解决的任务,则我们的计划系统必须选择要实现的目标,以及将哪些目标推迟以进行后续工作。为了使这一决策易于理解和控制,我们允许用户为目标分配严格的优先级,以确保如果将目标分配给最高优先级,系统将使用所有可用资源来尝试建立成功的计划以实现目标目标。在本文中,我们展示了SHOP2分层任务网络计划程序的独特功能如何允许该优先级队列行为的优雅实现。尽管本文主要是关于技术本身的,而不是SHOP2的性能,但我们评估了此优先级队列方法的可伸缩性,并讨论了潜在的改进方向,以及SHOP2域中更通用的元控制形式。

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