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A field study of two techniques for situation awareness for robot navigation in urban search and rescue

机译:城市寻找机器人导航的两种技术意识的实地研究

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In this paper we examine the performance of robot systems that use two different techniques for situation awareness for operators of robots in an urban search and rescue (USAR) competition: an automatic mapping technique using sonar and laser sensors and the use of an overhead camera to provide a frame of reference. In order to analyze situation awareness, we classified a subset of critical incidents that occurred during the RoboCup 2004 competition. While we conclude that both techniques lower critical incidents in local navigation and obstacle encounters, this result should be interpreted with caution as it is based on our field study results. A more controlled laboratory follow up study is planned.
机译:在本文中,我们研究了机器人系统的性能,这些系统对城市搜索和救援(USAR)竞争中机器人运营商的情况意识使用两种不同技术:使用声纳和激光传感器的自动映射技术以及使用开销相机到提供参考框架。为了分析情况意识,我们分为竞争中的Robocup竞赛期间发生的关键事件的子集。虽然我们得出结论,两种技术在本地导航和障碍物遭遇中的关键事件都会降低,但应该谨慎地解释这一结果,因为它基于我们的实地研究结果。计划进行更受控的实验室后续研究。

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