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Fingerprint‐Inspired Flexible Tactile Sensor for Accurately Discerning Surface Texture

Yudong Cao, Tie Li, Yang Gu, Hui Luo, Shuqi Wang, Ting Zhang

Year
2018
Citations
234

Abstract

Abstract Inspired by the epidermal–dermal and outer microstructures of the human fingerprint, a novel flexible sensor device is designed to improve haptic perception and surface texture recognition, which is consisted of single‐walled carbon nanotubes, polyethylene, and polydimethylsiloxane with interlocked and outer micropyramid arrays. The sensor shows high pressure sensitivity (−3.26 kPa −1 in the pressure range of 0−300 Pa), and it can detect the shear force changes induced by the dynamic interaction between the outer micropyramid structure on the sensor and the tested material surface, and the minimum dimension of the microstripe that can be discerned is as low as 15 µm × 15 µm (interval × width). To demonstrate the texture discrimination capability, the sensors are tested for accurately discerning various surface textures, such as the textures of different fabrics, Braille characters, the inverted pyramid patterns, which will have great potential in robot skins and haptic perception, etc.

Keywords

PolydimethylsiloxaneTactile sensorMaterials scienceHaptic technologyArtificial intelligenceComputer visionTexture (cosmology)Computer sciencePyramid (geometry)Acoustics

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