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17.3 Hybrid System for Efficient LAE-CMOS Interfacing in Large-Scale Tactile-Sensing Skins via TFT-Based Compressed Sensing

机译:17.3通过基于TFT的压缩传感在大型触觉皮肤中实现高效LAE-CMOS接口的混合系统

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Tactile sensing has wide-ranging applications, from intelligent surfaces to advanced robotics. Large-Area Electronics (LAE), based on low-temp. fabrication (<;200°C) of thin films, presents distinct capabilities, due to compatibility with a broad range of materials (enabling diverse transducers), as well as large and flexible substrates and materials-deposition methods (enabling expansive and formfitting sensing arrays). However, low performance/energy-efficiency of LAE thin-film transistors (TFTs) necessitates hybrid systems, integrating Si-CMOS ICs for system functions (sensor readout/control, processing, etc.). Initial work shows that a primary challenge in hybrid systems is the large number of interfaces required between LAE and CMOS, particularly as the number of sensors scales [1,2]. This paper presents a force-sensing system that exploits signal sparsity exhibited in many large-area tactile-sensing applications (e.g., detecting point damage/stress in structures [3]), to reduce interfacing complexity to the level of sparsity, rather than a level related to the number of sensors (e.g., [1]). This is achieved via compressed sensing (CS), enabling sensor-acquisition by simple switches, readily implemented using TFTs. While CS has previously been leveraged in a hybrid-system architecture targeting signal sampling-rate requirements [2], this system applies it for high spatial resolution in tactile sensing.
机译:触觉传感具有广泛的应用,从智能表面到先进的机器人技术。大面积电子(LAE),基于低温。薄膜的制造(<; 200°C)具有独特的功能,这是因为它与各种材料(支持各种换能器)以及大型且柔性的基板和材料沉积方法(支持扩展的和适合的传感阵列)兼容)。但是,LAE薄膜晶体管(TFT)的低性能/能效要求混合系统,必须集成用于系统功能(传感器读出/控制,处理等)的Si-CMOS IC。最初的工作表明,混合系统中的主要挑战是LAE和CMOS之间需要大量的接口,尤其是随着传感器数量的增加[1,2]。本文提出了一种力感测系统,该系统利用了许多大面积触觉应用中表现出的信号稀疏性(例如,检测结构中的点损伤/应力[3]),从而将界面复杂性降低到了稀疏性的水平,而不是一种与传感器数量相关的水平(例如[1])。这是通过压缩传感(CS)来实现的,它可以通过简单的开关(使用TFT轻松实现)进行传感器采集。虽然CS以前已经在针对信号采样率要求的混合系统体系结构中得到了利用[2],但该系统将其用于触觉传感中的高空间分辨率。

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