Zhang Jiahao, Zhang Yonghui, Li Yuheng, Li Xiaokai, Yuan Zizhen, Chen Yang, Zheng Huanxi, Sun Jing, Liu Xin
State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, P. R. China.
The School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, P. R. China.
ACS Appl Mater Interfaces. 2025 Jul 23;17(29):42362-42371. doi: 10.1021/acsami.5c10218. Epub 2025 Jul 15.
Biological organisms exhibit remarkable capabilities to dynamically adjust their physiological states through autonomous neural perception and adaptive locomotion, offering profound inspiration for the development of intelligent bionic systems. Particularly, the locomotion mechanisms of aquatic species hold transformative potential for underwater exploration technologies. However, current technologies rely on centralized control architectures with slow response and weak predictive capabilities, restricting the creation of interactive platforms for the sensitive perception and recognition of the environment. Herein, we developed a biomimetic ultraelastic conductive film by encapsulating carbon nanotubes (CNTs) within a vulcanized natural latex (VNL) matrix, engineered to mimic the buoyancy regulation and mechanosensory functions of swim bladders while serving as a soft self-sensing actuator. The sandwich-structured film demonstrated exceptional deformation fidelity, enabling the precise detection of finger joint flexion with high angular resolution in both air and underwater environments through strain-responsive conductivity variations. Pressure-controlled vertical motion underwater with high positional accuracy was achieved by an autonomous trajectory correction via real-time environmental feedback. Notably, utilizing Faraday's law of electromagnetic induction, we established a motion-tracking system for accurately detecting the actuator's motion state, where actuator displacement generated quantifiable voltage signals. This synergistic integration of proprioceptive actuation and electromagnetic transduction significantly enhances the operational intelligence and functional versatility of soft robotics in marine applications, opening new avenues for ecological monitoring and adaptive underwater manipulation systems.
生物有机体展现出通过自主神经感知和适应性运动动态调节其生理状态的卓越能力,为智能仿生系统的发展提供了深刻的启示。特别是,水生物种的运动机制对水下探测技术具有变革潜力。然而,当前技术依赖于响应缓慢且预测能力较弱的集中控制架构,限制了用于环境敏感感知和识别的交互式平台的创建。在此,我们通过将碳纳米管(CNTs)封装在硫化天然乳胶(VNL)基质中,开发了一种仿生超弹性导电膜,其设计旨在模仿鱼鳔的浮力调节和机械传感功能,同时作为一种柔软的自感应致动器。这种三明治结构的薄膜展现出卓越的变形保真度,通过应变响应导电性变化,能够在空气和水下环境中以高角度分辨率精确检测手指关节的弯曲。通过实时环境反馈进行自主轨迹校正,实现了水下压力控制的高精度垂直运动。值得注意的是,利用法拉第电磁感应定律,我们建立了一个用于精确检测致动器运动状态的运动跟踪系统,其中致动器位移产生可量化的电压信号。这种本体感受驱动与电磁转换的协同集成显著增强了软机器人在海洋应用中的操作智能和功能多样性,为生态监测和自适应水下操纵系统开辟了新途径。