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

EFRI-BSBA：用于人造无毛和毛发皮肤的生物灵感毛细胞传感器阵列PI名称：常柳研究所：西北大学建议编号：0938007摘要生物传感器表现出极高的灵敏度、大的动态范围和稳健而高效的信号重建。他们即使用不完美和有噪音的数据也能做到这一点。此外，大多数生物传感器被用作由二维、高密度、多模式传感器阵列组成的柔性传感器皮肤。拟议工作的总体工程目标是开发一种灵活的多模式触摸传感皮肤，该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。具体地说，我们将专注于开发人造无毛和毛茸茸的触敏皮肤？多模式触觉传感器的并行阵列？以及配套的信号处理算法。无毛的皮肤大部分是光滑的，由正常和剪切接触传感器组成，而有毛的皮肤则进一步由暴露的毛发组成，用于近端的触摸感应。我们计划在一个应用程序中测试传感器和算法：用于心脏手术程序(例如，组织消融、内部空间标测、心电记录)的智能、传感导管尖端，预期具有更高的准确性、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)提案团队将利用人造毛细胞传感器和多模式触觉传感器的现有专业知识，开发一种硅-聚合物混合、具有多模式传感器集成的柔性传感皮肤。(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/或有毛的皮肤，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)团队将从多个层面寻求生物灵感，以提高灵敏度，扩大动态范围，增强下游信号处理的速度和稳健性。(4)团队将创造性地探索主动传感的使用？传感器通过移动和主动接触而不是被动接口来感知周围环境的特性。(5)该团队将在信号处理方面进行前沿研究，以应对海量传感器数据和多通道传感器信息学融合的挑战。在这里，将通过研究啮齿动物胡须(触觉)触摸传感器的早期信号处理阶段的模型系统来寻求生物灵感。

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.