基于传感器融合技术的群体机器人分布式距离定位

D. Inoue, Daisuke Murai, Y. Ikuta, H. Yoshida
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引用次数: 4

摘要

在此,我们提出了一种群体机器人系统的定位方法,该方法仅依赖于与周围机器人的测量距离。利用传感器融合技术,将基于测量距离的外感觉估计方法与利用机器人自身动态特性的简单本体感觉估计方法动态耦合。该方法严格保持了算法的局部性。数值模拟结果表明,本文提出的方法比传统方法具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Range-based Localization for Swarm Robot Systems using Sensor-fusion Technique
Herein, we present a localization method for swarm robot systems that relies solely on measured distances from surrounding robots. Using the sensor fusion technique, an exteroceptive estimation method based on the measured distance is dynamically coupled with a simple proprioceptive estimation that uses a robot’s own dynamical properties. Our method strictly preserves the locality of algorithm. The results of numerical simulations for several scenarios show that our proposed method is more accurate that conventional methods.
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