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A neuro-inspired artificial peripheral nervous system for scalable electronic skins
Science Robotics ( IF 25.0 ) Pub Date : 2019-07-17 , DOI: 10.1126/scirobotics.aax2198
Wang Wei Lee 1, 2 , Yu Jun Tan 1, 2 , Haicheng Yao 1 , Si Li 1, 2 , Hian Hian See 1 , Matthew Hon 3 , Kian Ann Ng 4 , Betty Xiong 1 , John S. Ho 2, 4, 5 , Benjamin C. K. Tee 1, 2, 3, 4, 5
Affiliation  

A scalable communication architecture enables asynchronous readout of thousands of tactile sensors through a single conductor. The human sense of touch is essential for dexterous tool usage, spatial awareness, and social communication. Equipping intelligent human-like androids and prosthetics with electronic skins—a large array of sensors spatially distributed and capable of rapid somatosensory perception—will enable them to work collaboratively and naturally with humans to manipulate objects in unstructured living environments. Previously reported tactile-sensitive electronic skins largely transmit the tactile information from sensors serially, resulting in readout latency bottlenecks and complex wiring as the number of sensors increases. Here, we introduce the Asynchronously Coded Electronic Skin (ACES)—a neuromimetic architecture that enables simultaneous transmission of thermotactile information while maintaining exceptionally low readout latencies, even with array sizes beyond 10,000 sensors. We demonstrate prototype arrays of up to 240 artificial mechanoreceptors that transmitted events asynchronously at a constant latency of 1 ms while maintaining an ultra-high temporal precision of <60 ns, thus resolving fine spatiotemporal features necessary for rapid tactile perception. Our platform requires only a single electrical conductor for signal propagation, realizing sensor arrays that are dynamically reconfigurable and robust to damage. We anticipate that the ACES platform can be integrated with a wide range of skin-like sensors for artificial intelligence (AI)–enhanced autonomous robots, neuroprosthetics, and neuromorphic computing hardware for dexterous object manipulation and somatosensory perception.

中文翻译:

受神经启发的可扩展电子皮肤的人工周围神经系统

可扩展的通信体系结构允许通过单个导体异步读取数千个触觉传感器。人类的触觉对于灵巧的工具使用,空间感知和社交交流至关重要。为智能类人机器人和假肢配备电子皮肤(在空间上分布有很多传感器并能够快速进行体感感知的传感器)将使它们能够与人类合作并自然地协同工作,以在非结构化的生活环境中操纵物体。先前报道的触觉敏感的电子皮肤主要通过串行方式传输来自传感器的触觉信息,随着传感器数量的增加,导致读出延迟瓶颈和复杂的接线。这里,我们介绍了一种异步编码电子皮肤(ACES)—一种模仿神经的体系结构,即使在阵列大小超过10,000个传感器的情况下,也可以同时传输热触觉信息,同时保持极低的读出延迟。我们演示了多达240个人工机械感受器的原型阵列,这些阵列以1 ms的恒定等待时间异步传输事件,同时保持了<60 ns的超高时间精度,从而解决了快速触觉感知所需的精细时空特征。我们的平台仅需一根电导体即可进行信号传播,从而实现了可动态重新配置且坚固耐用的传感器阵列。
更新日期:2019-07-17
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