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Planning Coordinated Event Observation for Structured Narratives

机译:规划结构化叙事的协调事件观察

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This paper addresses the problem of using autonomous robots to record events that obey narrative structure. The work is motivated by a vision of robot teams that can, for example, produce individualized highlight videos for each runner in a large-scale road race such as a marathon. We introduce a method for specifying the desired structure as a function that describes how well the captured events can be used to produce an output that meets the specification. This function is specified in a compact, legible form similar to a weighted finite automaton. Then we describe a planner that uses simple predictions of future events to coordinate the robots' efforts to capture the most important events, as determined by the specification. We describe an implementation of this approach, and demonstrate its effectiveness in a simulated race scenario both in simulation and in a hardware testbed.
机译:本文解决了使用自主机器人记录遵循叙事结构的事件的问题。这项工作的灵感来自于机器人团队的愿景,例如,机器人团队可以为马拉松等大型公路赛中的每个跑步者制作个性化的精彩视频。我们介绍一种用于将所需结构指定为函数的方法,该方法描述捕获的事件可用于如何产生符合规范的输出。该功能以紧凑,清晰的形式指定,类似于加权有限自动机。然后,我们描述一个计划者,该计划者使用对未来事件的简单预测来协调机器人为捕获最重要事件(根据规范确定)所做的努力。我们描述了这种方法的实现,并在仿真和硬件测试平台的仿真竞赛场景中证明了其有效性。

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