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Bioinspired cilia-based electronic skin for multimodal mechanical sensing via additive manufacturing

Jian Ding, Yang Cao, Hongyu Yi, Limeng Zhan, Yifan Gao, Kongyu Ge, Hongjun Ji, Mingyu Li, Huanhuan Feng

Year
2025
Citations
3
Access
Open access

Abstract

Electronic skin (e-skin) has been widely used in various fields such as health monitoring, robotic tactile perception, and bioinspired prosthetics due to its ability to detect a wide range of signals. However, traditional flexible e-skin is limited in providing detailed information about the sensing surface and the velocity of surface fluid motion, which restricts its further applications. In this study, we successfully fabricated a bioinspired cilia-based e-skin that enables the sensing and detection of surface morphology, Braille, and airflow velocity. The bioinspired cilia exhibited a linear sensing range for static detection, with bending angles from 15° to 60°, and a frequency range of 1-25 Hz for dynamic sensing. A single cilia could accurately detect surface morphology changes as small as 0.5 mm and recognize Braille characters. Additionally, the cilia-based e-skin was capable of sensing and detecting airflow velocity. This multifunctional cilia-based e-skin integrates three major functions: static tactile sensing (10-22,000 Pa), dynamic sliding sensing (0.8-5.4 cm/s), and airflow sensing (1.8-5.7 m/s). This advancement holds promise for providing a novel approach to the multifunctional integration of flexible electronics.

Keywords

Computer scienceCiliumElectronic skinNanotechnologyMaterials scienceBusinessBiology

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