Real-time assessment of robot performance during remote exploration operations

D. Schreckenghost, T. Fong, T. Milam, E. Pacis, H. Utz
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引用次数: 15

Abstract

To ensure that robots are used effectively for exploration missions, it is important to assess their performance during operations. We are investigating the definition and computation of performance metrics for assessing remote robotic operations in real-time. Our approach is to monitor data streams from robots, compute performance metrics, and provide Web-based displays of these metrics for assessing robot performance during operations. We evaluated our approach for measuring robot performance with the K10 rovers from NASA Ames Research Center during a field test at Moses Lake Sand Dunes (WA) in June 2008. In this paper we present the results of evaluating our software for robot performance and discuss our conclusions from this evaluation for future robot operations.
远程勘探作业中机器人性能的实时评估
为了确保机器人有效地用于勘探任务,评估它们在操作过程中的性能是很重要的。我们正在研究实时评估远程机器人操作的性能指标的定义和计算。我们的方法是监视来自机器人的数据流,计算性能指标,并提供基于web的这些指标的显示,以便在操作期间评估机器人的性能。2008年6月,我们在摩西湖沙丘(WA)的一次实地测试中,用NASA艾姆斯研究中心的K10漫游车评估了我们测量机器人性能的方法。在本文中,我们展示了评估我们的机器人性能软件的结果,并讨论了我们从评估中得出的结论,用于未来的机器人操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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