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On the Time to Search for an Intermittent Signal Source Under a Limited Sensing Range

机译:在有限感测范围内寻找间歇信号源的时间

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摘要

A mobile robot with a limited sensing range is deployed to search for a stationary target that intermittently emits short duration signals. The searching mission is accomplished as soon as the robot receives a signal from the target. We propose the expected searching time (EST) as a primary metric to evaluate different robot motion plans under different robot configurations. To illustrate the proposed metric, we present two case studies. In the first case, we analyze two common motion plans: a slap method (SM) and a random walk (RW). The EST analysis shows that the SM is asymptotically faster than the RW when the searching space size increases. In the second case, we compare a team of $n$ homogeneous low-cost robots with a super robot that has the sensing range equal to that of the summation of the $n$ robots. Our analysis shows that the low-cost robot team takes $Theta (1)$ time, while the super robot takes $Theta (1/sqrt{n})$ time as $n rightarrow infty$. Our metrics successfully demonstrate their ability in assessing the searching performance. The analytical results are also confirmed in simulation and physical experiments.
机译:部署了具有有限感测范围的移动机器人,以搜索间歇性地发出短时信号的固定目标。一旦机器人从目标接收到信号,搜索任务即告完成。我们提出了预期搜索时间(EST)作为评估不同机器人配置下不同机器人运动计划的主要指标。为了说明拟议的指标,我们提出了两个案例研究。在第一种情况下,我们分析了两种常见的运动计划:拍击法(SM)和随机行走(RW)。 EST分析表明,当搜索空间增大时,SM的渐近速度比RW快。在第二种情况下,我们将一组n元均质低成本机器人与一个超级机器人相比,其感应范围等于n元机器人总和。我们的分析表明,低成本机器人团队花费$ Theta(1 / n)$的时间,而超级机器人花费$ Theta(1 / sqrt {n})$的时间作为$ n rightarrow infty $。我们的指标成功展示了他们评估搜索效果的能力。分析结果也在模拟和物理实验中得到证实。

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