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Priority-Based Meta-control within Hierarchical Task Network Planning

机译:分层任务网络规划中的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:我们正在开发实时规划和控制系统,允许单个人类运营商控制一支无人驾驶飞行器(无人机)的团队。如果操作员请求多于可用的无人机可以立即解决的任务,我们的规划系统必须选择尝试实现哪些目标,并将其推迟以供以后的努力。为了使这一决策可以轻松理解和可控,我们允许用户为目标分配严格的优先级,确保如果目标是指定最高优先级,则系统将使用可用于建立成功计划的每个资源来实现成功的计划目标。在本文中,我们展示了Shop2分层任务网络策划者的独特功能如何允许优先实现此优先级队列行为。虽然本文主要是关于技术本身,而不是Shop2的性能,但我们评估了该优先级队列方法的可扩展性,并讨论了潜在的改进方向,以及商店2域内的更多形式的元控制。

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