在USAR探索和报告受害者地点之间的权衡

Sion Scone, I. Phillips
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引用次数: 3

摘要

在城市搜救(USAR)行动中,救援人员面临着相当多的危险。移动机器人的使用可以缓解这个问题。在这些环境中通常面临的通信问题使协调搜索工作变得更加困难,例如通信通常仅限于视线范围内。由于结构外的救援人员需要知道任何受害者的位置,因此任务分为两部分:1)定位受害者(搜索时间),2)获取结构外的这些数据(延迟时间)。与外界的通信假定由指定为指挥站的静态机器人执行。由于不太可能有足够的机器人来提供该地区的全面通信覆盖,发现受害者的机器人面临着一个艰难的决定,即是继续搜索还是带着受害者的数据返回。我们研究了各种搜索技术,看看生物觅食模型的应用如何帮助简化搜索过程,同时我们也实施了一个机会主义网络,以确保每当机器人进入彼此或指挥站的视线范围时,数据都是共享的。我们将研究执行搜索和传递结果之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trade-off between exploration and reporting victim locations in USAR
In urban search and rescue (USAR) operations, there is a considerable amount of danger faced by rescuers. The use of mobile robots can alleviate this issue. Coordinating the search effort is made more difficult by the communication issues typically faced in these environments, such that communication is often restricted to line of sight. Since the rescue workers outside of the structure need to know the location of any victims, the task is two parted: 1) to locate the victims (Search Time), and 2) to get this data outside the structure (Delay Time). Communication with the outside is assumed to be performed by a static robot designated as the Command Station. Since it is unlikely that there will be sufficient robots to provide full communications coverage of the area, robots that discover victims are faced with the difficult decision of whether they should continue searching or return with the victim data. We investigate a variety of search techniques and see how the application of biological foraging models can help to streamline the search process, while we have also implemented an opportunistic network to ensure that data are shared whenever robots come within line of sight of each other or the Command Station. We examine this trade-off between performing a search and communicating the results.
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