Bio‐Inspired SA‐FA Bionic Dual Receptor Electronic Skin for Intelligent Gesture and Material Cognition Systems Enhanced by Static‐Dynamic Mutual Interaction

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.