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Estimation method using genetic programming for location and depth on distributed tactile sensor

机译:基于遗传编程的分布式触觉传感器位置和深度估计方法

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摘要

Tactile sensors are required in various areas such as robotics, human interfaces. Since sensing elements and wiring space are limited, it is important that a few sensing elements cover a large area. In this study, a tactile sensor which comprises of an elastic layer and a substrate layer is proposed. This sensor has some magnets and giant magnetoresistance effect elements (GMR elements) as sensor elements. The tactile sensor estimates a location and depth of a touch based on the output voltages of GMR elements. The estimate equation is determined by the genetic programming. The effectiveness of the tactile sensor is confirmed through laboratory experiments.
机译:在机器人技术,人机界面等各个领域都需要触觉传感器。由于感测元件和布线空间有限,因此重要的是几个感测元件要覆盖大面积。在这项研究中,提出了一种由弹性层和基底层组成的触觉传感器。该传感器具有一些磁体和巨大的磁阻效应元件(GMR元件)作为传感器元件。触觉传感器基于GMR元件的输出电压估计触摸的位置和深度。估计方程由遗传程序确定。触觉传感器的有效性通过实验室实验得到证实。

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