Abstract
Based on the triboelectric effect, self-powered triboelectric tactile sensors can convert mechanical inputs into electrical signals, attracting significant interest in self-sustaining, energy-efficient applications. This chapter discusses the triboelectric tactile matrix, single-electrode touchpad, artificial intelligence (AI) augmented tactile systems, and neuromorphic tactile systems. This chapter covers applications such as human-machine interface (HMI), intelligent robots, and artificial intelligence of things (AIoT). A triboelectric tactile matrix with high resolution, high sensitivity, and full dynamic range has been demonstrated as a fundamental component of E-skin. The construction of a triboelectric nanogenerator (TENG) with a single electrode enables functional applications while addressing the signal readout challenges of numerous sensor channels. Multiple smart applications have exhibited AI-enhanced triboelectric tactile sensing for HMI, intelligent robots, and AIoT, among others. By combining triboelectric sensors with neuromorphic circuits, triboelectric neuromorphic tactile sensing is promising for low-energy and high-speed computing. This may pave the way for AI-enhanced self-powered sensing to be utilized in the real world.
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Xu, S., Wu, W. (2023). Triboelectric Nanogenerator for Tactile Sensing and AI. In: Wang, Z.L., Yang, Y., Zhai, J., Wang, J. (eds) Handbook of Triboelectric Nanogenerators. Springer, Cham. https://doi.org/10.1007/978-3-031-05722-9_43-1
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