Wide‐range Stretchable Modulus Sensor Based on PSSS Architecture for Tactile Perception

材料科学 触觉传感器 模数 解耦(概率) 堆积 可扩展性 制作 灵敏度(控制系统) 压力传感器 电子皮肤 计算机科学 仿生学 纳米技术 纳米传感器 联轴节(管道) 声学 智能材料 杨氏模量 稳健性(进化) 人工智能 图像传感器 炸薯条 软机器人 纳米尺度
作者
Yan Jiang,Zhenlong Huang,Hongwei Xie,Longpeng Yang,Fei Kang,Dong Cheng,Jing Liu,Tailong Wu,Mingrui Chen,Hao Li,Tianyu Yan,Binbin Jiang,Min Gao,Taisong Pan,Yuan Lin
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:36 (36)
标识
DOI:10.1002/adfm.202530485
摘要

ABSTRACT Stretchable tactile sensors play a central role in biomimetic electronic skin, enabling advanced capabilities for human‐machine interaction. Among various sensing modalities, modulus detection plays a pivotal role in replicating human‐like tactile perception. However, existing stretchable modulus sensors are limited by narrow modulus ranges, trade‐offs between sensitivity and dynamic range, challenges in decoupling pressure and deformation signals, and a lack of scalable fabrication strategies for reliable array‐level integration and spatial modulus mapping. In this study, we propose an integrated structural and fabrication approach for stretchable tactile sensor arrays based on pressure‐support‐strain stacking (PSSS) architecture. This design enables precise spatial mapping of material modulus through the synergistic coupling of pressure and strain signals. The resulting biomimetic electronic skin exhibits high sensitivity across an ultra‐wide modulus detection range from 27.7 to 2257.6 kPa. As a demonstration, the sensor array was fabricated using the proposed method and integrated into a robotic manipulator, enabling the spatial mapping of surface decay regions on fruit. Combined with a deep learning algorithm for processing multimodal tactile data, the system achieves near‐perfect accuracy in identifying fruit classification. The study offers a novel and scalable solution for high‐precision tactile sensing in robotics, with broad implications for intelligent perception systems.
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