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Memristor-based artificial tactile perception systems with integrated functions of sensing, storage and computing

  • Yulong Xie,
  • Subhas C. Kundu,
  • Suna Fan,
  • Yaopeng Zhang

摘要

Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance. In this work, an artificial tactile perception system with integrated sensing, storage, and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors. The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed. In addition, the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information. As a result, the integrated tactile perception system realizes the perception, storage, and processing of pressure information, demonstrating the possibility to simulate the biological tactile perception nervous system. This type of system may promote potential applications in artificial intelligence, such as autonomous driving, wearable, flexible electronic devices, and bionic robots.