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Performance characterization of a rover navigation algorithm using large-scale simulation

机译:大规模仿真的漫游车导航算法性能表征

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Autonomous rover navigation is a critical technology for robotic exploration of Mars. Simulation allows more extensive testing of such technologies than would be possible with hardware test beds alone. A large number of simulations, running in parallel, can test an algorithm under many different operating conditions to quickly identify the operational envelope of the technology and identify failure modes that were not discovered in more limited testing. GESTALT is the autonomous navigation algorithm developed for NASA's Mars rovers. ROAMS is a rover simulator developed to support the Mars program. We have integrated GESTALT into ROAMS to test closed-loop, autonomous navigation in simulation. We have developed a prototype capability to run many copies of ROAMS in parallel on a supercomputer, varying input parameters to rapidly explore GESTALT's performance across a parameter space. Using these tools, we have demonstrated that large scale simulation can identify performance limits and unexpected behaviors in an algorithm. Such parallel simulation was able to test approximately 500 parameter combinations in the time required for a single test on a hardware test bed.
机译:漫游车自主导航是机器人探索火星的一项关键技术。与单独使用硬件测试台相比,仿真可以对这些技术进行更广泛的测试。大量并行运行的仿真可以在许多不同的操作条件下测试算法,以快速识别技术的操作范围并识别在更有限的测试中未发现的故障模式。 GESTALT是为NASA的火星探测器开发的自主导航算法。 ROAMS是为支持火星计划而开发的流动站模拟器。我们已将GESTALT集成到ROAMS中,以测试仿真中的闭环自主导航。我们已经开发了一种原型功能,可以在超级计算机上并行运行许多ROAMS副本,并通过改变输入参数来快速探索GESTALT在整个参数空间中的性能。使用这些工具,我们证明了大规模仿真可以识别算法中的性能极限和意外行为。这种并行仿真能够在硬件测试床上进行一次测试所需的时间内测试大约500个参数组合。

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