基于电定位感知和卡尔曼滤波的水下机器人绕球导航

V. Lebastard, C. Chevallereau, Ali Amrouche, Brahim Jawad, A. Girin, F. Boyer, P. Gossiaux
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引用次数: 37

摘要

本文的目的是利用电感测器对水下机器人进行导航。机器人在有球体存在的无界环境中导航。这种传感器的灵感来自于某些种类的电鱼。建立了由n个球面电极组成的传感器模型。由于球体的存在而引起的电流变化与Rasnow[3]模型有关。利用无气味卡尔曼滤波对机器人进行相对于球体的定位,并估计球体的大小。我们表明,仿生运动提高了对球体的探测。我们在两种情况下说明了该方法的效率:双电极传感器和四电极传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underwater robot navigation around a sphere using electrolocation sense and Kalman filter
The aim of this paper is to perform the navigation of an underwater robot equipped with a sensor using the electric sense. The robot navigates in an unbounded environment in presence of spheres. This sensor is inspired of some species of electric fish. A model of this sensor composed of n spherical electrodes is established. The variations of the current due to the presence of the sphere is related to the model of Rasnow [3]. Unscented Kalman Filter is used to localize the robot with respect to the sphere and to estimate the size of the sphere. We show that bio-inspired motions improve the detection of the spheres. We illustrate the efficiency of the method in two cases: a two electrodes sensor and a four electrodes sensor.
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