Peniel method for the ultrasonic material identification in robots

J. J. González, Jovani A. Jimenez, J. A. Guzman
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引用次数: 9

Abstract

In this paper is addressed the development of an ultrasonic sensor for the material identification. This sensor had to be appropriate, in terms of computational cost, in order to be implemented in small robots. This implementation was achieved by a novel signal processing method called Peniel. The associated electronic circuit and the algorithm of this method have as main strengths their circuital simplicity and the low computational cost, respectively. These two characteristics let the sensor to be implemented in two robots of the low cost robotic kit TEAC2H-RI, which was constructed as part of the master thesis of one the authors. The developed system was proved with acrylic, aluminium and glass samples. In the performed experiments those materials were identified with 100% accuracy in all of ten trials. According to the literature review, it is the first time which is achieved the implementation of the ultrasonic material identification in a robotic system.
机器人超声材料识别的Peniel方法
本文介绍了一种用于材料识别的超声波传感器的研制。这个传感器必须是合适的,在计算成本方面,为了在小型机器人中实现。这种实现是通过一种名为Peniel的新型信号处理方法实现的。该方法的主要优点是电路简单,计算成本低。这两个特点使传感器能够在低成本机器人套件TEAC2H-RI的两个机器人中实现,该套件是作为一位作者的硕士论文的一部分构建的。用丙烯酸、铝和玻璃样品对该系统进行了验证。在进行的实验中,这些材料在所有10次试验中都被100%准确地识别出来。根据文献综述,这是首次在机器人系统中实现超声材料识别。
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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