摩擦电效应
材料科学
智能材料
模块化设计
软机器人
执行机构
制作
纳米技术
电压
计算机科学
机器人
变形
电容器
磁性纳米粒子
能量收集
触觉传感器
磁铁
柔性电子器件
适应(眼睛)
弹性体
机器人学
系统集成
磁致伸缩
超级电容器
电气工程
作者
Jung-Hyo Kim,Jung-Hyo Kim,Jin Pyo Lee,Yeonwoo Jang,Jun‐Ho Jeong,Youn‐Kyoung Baek,Jiyun Kim,Jiyun Kim
标识
DOI:10.1002/adma.202512553
摘要
The seamless integration of actuation and sensing within materials is essential for developing compact, autonomous, and adaptive robotic systems. However, existing approaches often rely on modular assemblies or multilayer structures, leading to increased bulk, fabrication complexity, and limited integration density. Herein, a magnetically augmented structural platform is introduced for triboelectric-nanogenerator sensing and actuation (MASTA) that combines magnetic-field-induced actuation with enhanced triboelectric tactile sensing through physically distinct mechanisms. It employs a high concentration of neodymium-based magnetic particles embedded in an elastomer matrix, which enhances the triboelectric output through increased dielectric constant, magnetoelectric coupling, and magnetizing currents while enabling programmable magnetic actuation. The experimental results demonstrate significant improvements in the triboelectric performance, achieving a 325% voltage increase compared with pristine systems, while exhibiting substantial magnetic actuation capability. Three soft robotic applications validate the multifunctionality of MASTA: shape morphing with self-sensing of motion and ground contact, reconfigurable locomotion and surface adaptation through a kirigami-based auxetic design under distributed magnetic fields, and origami-inspired environmental interactions through droplet-triggered transformations. Overall, MASTA is a versatile, self-sensing, and magnetically programmable platform that advances the design of intelligent soft robotic materials, enabling real-time perception, adaptive behavior, and integrated multifunctionality without the need for additional actuation or sensing components.
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