EFRI-BSBA:Bio-Inspired Arrays of Haircell Sensors for Artificial Glabrous and Hairy Skin

EFRI-BSBA：用于人造无毛和毛状皮肤的仿生毛细胞传感器阵列PI名称：Chang Liu机构：西北大学提案编号：0938007摘要生物传感器表现出极高的灵敏度、大的动态范围以及稳健和高效的信号重建。即使数据不完美且有噪音，他们也能完成这些任务。此外，大多数生物传感器被用作由二维、高密度、多模态传感器阵列组成的柔性传感器皮肤。这项工作的总体工程目标是开发一种灵活的、多模式的触觉传感皮肤，利用生物启发原理来实现高灵敏度、宽动态范围和先进、高效的信号处理能力。具体来说，我们将重点开发人造无毛多毛的触敏皮肤？多模态触觉传感器的并行阵列 ?以及配套的信号处理算法。 无毛皮肤基本上是光滑的，并且由正常接触传感器和剪切接触传感器组成，而毛皮肤还包括用于近端触摸感应的暴露毛发。我们计划在一种应用中测试传感器和算法：用于心脏手术程序（例如组织消融、内部空间测绘、心电图记录）的智能传感导管尖端，其预期好处是提高准确性、可靠性和速度。 该提案寻求在以下主要领域进行变革性的跨学科研究：（1）提案团队将利用人工毛细胞传感器和多模态触觉传感器的现有专业知识，开发一种具有多模态传感器集成的硅聚合物混合柔性传感皮肤。 (2) 该团队将开发一种激进的多模式触觉传感器皮肤，模仿无毛和/或多毛的皮肤，由人造毛发（胡须）和其他触觉传感模式（正常和剪切接触、温度等）组成。 （3）团队将在多个层面寻求生物学灵感，以提高灵敏度、拓宽动态范围、增强下游信号处理的速度和鲁棒性。 (4) 团队将创造性地探索主动传感的运用？通过运动和主动参与而不是被动接口来感知周围环境属性的传感器。 （5）团队将在信号处理方面开展前沿研究，以应对海量传感器数据和多模态传感器信息学融合的挑战。 在这里，我们将通过研究模型系统、啮齿动物晶须（触须）触摸传感器的早期信号处理阶段来寻求生物灵感。

EFRI-BSBA: Bio-Inspired Arrays of Haircell Sensors for Artificial Glabrous and Hairy SkinPI Name: Chang LiuInstitution: Northwestern UniversityProposal Number: 0938007AbstractBiological sensors exhibit exquisitely high sensitivity, large dynamic range, and robust and efficient signal reconstruction. They accomplish these even with imperfect and noisy data. Further, most biological sensors are employed as flexible sensor skins consisting of two dimensional, high density, multimodal sensor array. The overarching engineering objective of the proposed work is to develop a flexible, multimodal sensing skin for the sense of touch that exploits biologically inspired principles to achieve high sensitivity, wide dynamic range, and an advanced, highly-efficient signal processing capability. Specifically, we will focus on developing artificial glabrous and hairy touch-sensitive skin ? parallel arrays of multimodal tactile sensors ? along with companion signal processing algorithms. A glabrous skin is largely smooth and consists of normal and shear contact sensors, whereas a hairy skin further consists of exposed hairs for proximal touch sensing. We plan to test-bed the sensors and algorithms in one application: smart, sensorized catheter tips for cardiac surgery procedures (e.g., tissue ablation, internal space mapping, ECG recording), with intended benefits of increased accuracy, reliability, and speed. The proposal seeks transformative interdisciplinary research in the following major areas: (1) The proposal team will develop a silicon-polymer hybrid, flexible sensing skin with multimodal sensor integration by leveraging existing expertise of artificial haircell sensors and multimodal tactile sensors. (2) The team will develop a radical multimodal tactile sensor skin, mimicking glabrous and/or hairy skin, consisting of artificial hairs (whiskers) and other tactile sensing modalities (normal and shear contact, temperature, etc). (3) The team will seek biological inspirations at many levels to increase the sensitivity, widen the dynamic range, and enhance speed and robustness of downstream signal processing. (4) The team will creatively explore the use of active sensing ? sensors that sense the properties of surroundings through movement and active engagement, rather than passive interfaces. (5) The team will perform cutting edge research on signal processing, to face the challenge of massive sensor data and multimodal sensor informatics fusion. Here, bioinspiration will be sought by investigating a model system, early signal-processing stages of the rodent whisker (vibrissal) touch sensor.