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Static Tactile Sensing for a Robotic Electronic Skin via an Electro-Mechanical Impedance Based Approach

机译:基于机电阻抗的机器人电子皮肤的静电触感

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Tactile sensing is paramount for robots operating in human-centered environments to help in understanding the interaction with objects. To enable robots with the sophisticated tactile sensing capability, researchers have developed different kinds of electronic skins for robotic hands and arms to realize the 'sense of touch'. Recently, Stanford Structures and Composites Laboratory developed a robotic electronic skin which is based on a network of multi-modal micro-sensors. This skin can identify temperature profile and detect arm strikes by embedded sensors. However, one vital aspect of tactile sensing is yet to be investigated: sensing for the static pressure load. Current state-of-the-art tactile sensors mostly are capacitive sensors which can achieve high sensitivity. However, these sensors are liable to damage under high repeating load. In addition, capacitive sensor signals are prone to external noises which will result in complex circuitry for signal conditioning. In this work, an electromechanical-impedance based method is proposed to investigate the response of piezoelectric sensors to the static normal pressure load. The smart skin sample was firstly fabricated by embedding piezoelectric sensor into the soft silicone. Then a series of static pressure tests to the skin were performed. Test results show that this setup can reach a minimal detectable force of 0.5N by using the proposed diagnostic method. Theoretical analysis was then performed to explain the experiment results.
机译:触觉感应对于在以人为本的环境中运行的机器人来说至关重要,以帮助理解与对象的互动。为了使机器人能够具有复杂的触觉传感能力,研究人员为机器人手和手臂开发了不同种类的电子皮肤,以实现“触摸感”。最近,斯坦福结构和复合材料实验室开发了一种基于多模态微传感器网络的机器人电子皮肤。这种皮肤可以识别温度曲线并通过嵌入式传感器检测臂撞击。然而,尚不研究触觉感测的一个重要方面:对静压负荷感测。目前最先进的触觉传感器主要是电容式传感器,可以实现高灵敏度。然而,这些传感器易于在高重复负荷下损坏。另外,电容传感器信号容易出现外部噪声,这将导致用于信号调节的复电路。在这项工作中,提出了一种基于机电阻抗的方法,以研究压电传感器对静态常压负荷的响应。首先通过将压电传感器嵌入软硅氧烷中,首先制造智能皮肤样品。然后进行对皮肤的一系列静态压力测试。测试结果表明,通过使用所提出的诊断方法,该设置可以达到0.5N的最小可检测力。然后进行理论分析以解释实验结果。

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