材料科学
触觉传感器
热的
灵敏度(控制系统)
纳米技术
稳健性(进化)
可扩展性
微观结构
计算机科学
离子键合
纳米尺度
机器人学
机器人
人工神经网络
人工智能
软化
生物系统
悬臂梁
聚合物
仿生学
双晶片
纳米复合材料
触觉知觉
压力传感器
人工肌肉
作者
Qianqian Yang,Bo Li,Zhengjie Zhu,Ruohan Wang,Zhi Ding,Liangran Meng,Honghao Lyu,Kaichen Xu,Huayong Yang,M. Jamal Deen,Changju Wu,Geng Yang
摘要
ABSTRACT Achieving intelligent tactile perception for robots operating in high‐temperature environments remains a formidable challenge, as conventional pressure sensors are prone to thermally induced material softening and performance degradation arising from single‐scale microstructural design. Here, we report an ultrasensitive and thermally robust iontronic skin, realized through synergistic multiscale microstructural engineering and thermal stabilization of the ionic functional layer. A hierarchical microstructure integrating biomimetic microtextures inspired by Calathea zebrina leaves with an artificial hollow millimeter‐scale pyramidal array is constructed to amplify interfacial capacitance modulation. By overcoming the constraint of single‐length‐scale microstructural architecture, the device achieves an ultrahigh sensitivity of ∼4.7 × 10 3 kPa − 1 across a broad operating range to 496 kPa. Concurrently, thermal reinforcement of the ionic liquid–polymer network through incorporation of heat‐resistant polymer segments ensures effective pressure sensing at temperatures as high as 210°C. Leveraging this ultrasensitive and thermally robust platform, a compact data‐driven architecture enables generalized tactile perception capable of distinguishing diverse geometries and surface textures even under 100°C thermal stress. This work establishes a materials‐to‐intelligence framework that integrates multiscale microstructural engineering, thermal stabilization, and machine learning, providing a scalable strategy for next‐generation robotic tactility in harsh environments.
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