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Mixed-Initiative Mission Planning Using Planning Strategy Models in Military Manned-Unmanned Teaming Missions

机译:军事无人作战任务中使用规划策略模型的混合启动任务规划

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In this article we propose a concept of cognitive pilot assistance for on-board mission (re-)planning. Current research activities address the delegation of complex multi-vehicle planning tasks to automation, as well as the related monitoring tasks. However, opacity and loss of situation awareness may arise as a consequence of delegation. To counteract these shortcomings, we suggest a mixed-initiative planner approach. Adequate assistance shall be ensured by a planning strategy model, which represents the pilots' mental process during the planning. A pilot observer determines the pilot's current activities. In a next step, these activities are analyzed to identify the pilot's planning progress. The planning progress and other factors, for example situational changes, are used to shape the intervention policy. An overview of the current implementation status and the future work is given. The proposed concept is investigated in our military manned unmanned teaming application.
机译:在本文中,我们提出了用于机载任务(重新)计划的认知飞行员协助的概念。当前的研究活动涉及将复杂的多车辆计划任务委托给自动化以及相关的监视任务。但是,委派可能导致不透明和情况意识丧失。为了弥补这些缺点,我们建议采用混合计划方案。计划战略模型应确保提供足够的协助,该模型代表飞行员在计划过程中的心理过程。飞行员观察员确定飞行员当前的活动。在下一步中,将分析这些活动以识别飞行员的计划进度。规划进度和其他因素(例如情况变化)被用于制定干预政策。概述了当前的实施状态和未来的工作。我们的军事有人无人联队应用程序中对提出的概念进行了研究。

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