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

L. E. Aygun, Prakhar Kumar, Zhiwu Zheng, Ting-Sheng Chen, S. Wagner, J. Sturm, N. Verma
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引用次数: 1

Abstract

Tactile sensing has wide-ranging applications, from intelligent surfaces to advanced robotics. Large-Area Electronics (LAE), based on low-temp. fabrication $(\lt 200 ^{\circ}\mathrm {C})$ 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.
17.3基于tft压缩传感的大规模触觉传感皮肤中高效LAE-CMOS接口混合系统
触觉传感有着广泛的应用,从智能表面到先进的机器人技术。大面积电子(LAE),基于低温。制造$(\lt 200 ^{\circ}\ mathm {C})$的薄膜,由于与广泛的材料(使不同的传感器),以及大而灵活的衬底和材料沉积方法(使膨胀和装配传感阵列)的兼容性,呈现出独特的能力。然而,LAE薄膜晶体管(TFTs)的低性能/能效需要混合系统,集成Si-CMOS ic来实现系统功能(传感器读出/控制,处理等)。最初的工作表明,混合系统的主要挑战是LAE和CMOS之间需要大量接口,特别是随着传感器数量的增加[1],[2]。本文提出了一种力传感系统,该系统利用了许多大面积触觉传感应用(例如,检测结构中的点损伤/应力[3])中显示的信号稀疏性,将接口复杂性降低到稀疏性水平,而不是与传感器数量相关的水平(例如,[1])。这是通过压缩感知(CS)实现的,通过简单的开关实现传感器采集,很容易使用tft实现。虽然CS先前已被用于针对信号采样率要求的混合系统架构[2],但该系统将其应用于触觉传感中的高空间分辨率。
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