Design of an EIT-based flexible tactile sensor with center electrodes

Yucheng He, Xinyan Li, Rui Li
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Abstract

For large area robot skin design, the distribution of rigid components and wires in traditional array sensors leads to the decrease of the flexibility and extensibility. The flexible sensors based on non-invasive electrical impedance tomography (EIT) can avoid these shortcomings. However, the number, position and driving pattern of the central electrode will have a great impact on the performance of the sensor. Multi-walled carbon nanotubes (MWCNTs) are used as filler materials to prepare flexible materials. Different numbers of central electrodes are introduced into the traditional 16-electrode flexible sensor. The corresponding driving pattern is designed and the position error is taken as the evaluation index to carry out comparative experiments. The simulation and experimental results show that the 18-electrode flexible sensor with two central electrodes has the best detection performance, and the detection position error can be reduced by 57.6% at the optimal position of the central electrodes at 0.24 from the center of the circle. The optimal design of the central electrode can effectively improve the performance of the flexible sensor, which has a certain guiding significance for the design of large area robot skin.
基于eit的中心电极柔性触觉传感器设计
对于大面积机器人皮肤设计,传统阵列传感器中刚性元件和导线的分布导致其灵活性和可扩展性降低。基于无创电阻抗断层成像(EIT)的柔性传感器可以避免这些缺点。然而,中心电极的数量、位置和驱动方式对传感器的性能有很大的影响。多壁碳纳米管(MWCNTs)是制备柔性材料的填料。传统的16电极柔性传感器引入了不同数量的中心电极。设计了相应的驱动方式,并以位置误差为评价指标进行了对比实验。仿真和实验结果表明,具有两个中心电极的18电极柔性传感器具有最佳的检测性能,在中心电极距圆心0.24处的最佳位置,检测位置误差可降低57.6%。中心电极的优化设计可以有效地提高柔性传感器的性能,对大面积机器人皮肤的设计具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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