解耦(概率)
触觉传感器
接触力
计算机科学
材料科学
灵敏度(控制系统)
触觉技术
法向力
纳米技术
纳米传感器
声学
打滑(空气动力学)
微型多孔材料
各向异性
微电子机械系统
机器人
机器人学
棱锥(几何)
航程(航空)
机械工程
结构健康监测
粒子(生态学)
作者
Guolin Yun,Z. Chen,Zhuo Chen,Jinrui Chen,Binghan Zhou,Mingfei Xiao,Michael G. Stevens,Manish Chhowalla,Md Tawfique Hasan
出处
期刊:Nature Materials
[Nature Portfolio]
日期:2026-02-18
卷期号:25 (6): 1011-1019
被引量:5
标识
DOI:10.1038/s41563-026-02508-7
摘要
Abstract Flexible tactile sensors are pivotal for advancing neuroprosthetics, human–machine interactions and intelligent robotics. However, achieving highly sensitive tactile sensing to differentiate normal and tangential forces, particularly in mimicking the high-resolution multidimensional haptics of human fingers, remains a challenge. Here we propose a triaxial force microsensor array made from graphene–liquid-metal composites. Using anisotropic particle networks in microporous composites with pyramid geometries, we achieve normal–tangential force decoupling through multiscale structuring. Our approach offers exceptional sensitivity of 110 kPa −1 over a 500 kPa linear range ( R 2 > 0.998), with <2° force direction measurement deviation. The sensor array demonstrates force decoupling and slip detection via self-adjusted grasping of unknown objects. Our microsensor improves on the state of the art by an order of magnitude in size and detection limit, enabling 3D force sensing in micromanipulators and microrobots and unlocking advanced robotic dexterity.
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