触觉传感器
石墨烯
材料科学
触觉知觉
计算机科学
感知
人工智能
纳米技术
具身认知
简单
对象(语法)
计算机视觉
人机交互
仿生学
视觉对象识别的认知神经科学
纳米传感器
机制(生物学)
作者
Gongmo Xiang,Guozhen Zhang,Guoning Yin,Zhenya Ge,Weijie Wang,Lingyun Xu,Xiangyu Jiang
摘要
Developing multifunctional tactile sensors that combine multimodal perception with structural simplicity remains challenging for embodied perception. Inspired by trichoid sensilla on wasp antennae, we present a dual-modal bioinspired trichoid tactile sensor (BTTS) that integrates both piezoresistive and triboelectric effects. The BTTS consists of vertically aligned rough-substrate laser-induced graphene fibers (RLIGFs) formed on a laser-pretreated polyimide substrate, creating a hierarchical bionic architecture with staggered microstructures. This design produces distinguishable electrical signals when contacting objects of different shapes and material types. A BTTS-based wireless wearable system (BWWS) is further developed for multichannel real-time tactile signal acquisition and wireless transmission. Machine-learning-assisted fusion and classification of BWWS signals enable simultaneous recognition of object shape and material type, achieving 95.6% accuracy across eight objects. Owing to its simple structure, rapid fabrication, and low cost, the proposed BTTS shows strong potential for embodied perception, humanoid robotics, and wearable devices.
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