Bio‐Inspired SA‐FA Bionic Dual Receptor Electronic Skin for Intelligent Gesture and Material Cognition Systems Enhanced by Static‐Dynamic Mutual Interaction
Hao Li, Hongsen Niu, Hao Kan, Eun‐Seong Kim, Nam‐Young Kim, Yang Li
Abstract
Abstract Traditional electronic skins (e‐skins) face significant challenges in system integration and practical usability demonstrations, limiting their ability to meet the development demands of robot intellectualization under future artificial intelligence (AI) frameworks. Here, a bionic dual receptor (BDR) e‐skin motivated by AI‐based hardware‐software coordination is proposed, which consists of electrospinning fiber triboelectric unit inspired by fast‐adapting receptors and micropyramid ionic hydrogel iontronic unit inspired by slow‐adapting receptors. Benefiting from the iontronic effect and micropyramid structure, the iontronic unit yields impressive features: a linear sensitivity of 172 kPa −1 (30 kPa), a fast response/recovery time of 11.2 ms. Based on this innovation, the BDR e‐skin is integrated into the glove, and a dual‐channel signal‐motivated intelligent glove cognitive system for sign language gesture identification and robot interaction is developed, laying the foundation for subsequent usability demonstrations. Further, the BDR e‐skin is deeply integrated with intelligent software algorithms and high‐speed hardware circuits to construct an intelligent autonomous material cognition system. This system enables the robot finger controlled by the intelligent glove to accurately identify multidimensional properties (average accuracy: 99.3%) of smooth surface films—such as electronegativity, softness/hardness, and material species—with a single touch, showing a tactile cognition level comparable to that of humans.