Li Yue, Cao Zhiguang, Li Tie, Sun Fuqin, Bai Yuanyuan, Lu Qifeng, Wang Shuqi, Yang Xianqing, Hao Manzhao, Lan Ning, Zhang Ting
i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou 215123, China.
School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China.
Research (Wash D C). 2020 Aug 24;2020:8910692. doi: 10.34133/2020/8910692. eCollection 2020.
Biomimetic flexible tactile sensors endow prosthetics with the ability to manipulate objects, similar to human hands. However, it is still a great challenge to selectively respond to static and sliding friction forces, which is crucial tactile information relevant to the perception of weight and slippage during grasps. Here, inspired by the structure of fingerprints and the selective response of Ruffini endings to friction forces, we developed a biomimetic flexible capacitive sensor to selectively detect static and sliding friction forces. The sensor is designed as a novel plane-parallel capacitor, in which silver nanowire-3D polydimethylsiloxane (PDMS) electrodes are placed in a spiral configuration and set perpendicular to the substrate. Silver nanowires are uniformly distributed on the surfaces of 3D polydimethylsiloxane microcolumns, and silicon rubber (Ecoflex®) acts as the dielectric material. The capacitance of the sensor remains nearly constant under different applied normal forces but increases with the static friction force and decreases when sliding occurs. Furthermore, aiming at the slippage perception of neuroprosthetics, a custom-designed signal encoding circuit was designed to transform the capacitance signal into a bionic pulsed signal modulated by the applied sliding friction force. Test results demonstrate the great potential of the novel biomimetic flexible sensors with directional and dynamic sensitivity of haptic force for smart neuroprosthetics.
仿生柔性触觉传感器赋予假肢操纵物体的能力,类似于人类的手。然而,选择性地响应静摩擦力和滑动摩擦力仍然是一个巨大的挑战,而这是与抓握过程中重量和滑动感知相关的关键触觉信息。在此,受指纹结构和鲁菲尼小体对摩擦力的选择性响应的启发,我们开发了一种仿生柔性电容式传感器,用于选择性地检测静摩擦力和滑动摩擦力。该传感器被设计为一种新型的平行板电容器,其中银纳米线-三维聚二甲基硅氧烷(PDMS)电极呈螺旋状配置并垂直于基板放置。银纳米线均匀分布在三维聚二甲基硅氧烷微柱的表面,硅橡胶(Ecoflex®)作为介电材料。在不同的法向力作用下,传感器的电容几乎保持不变,但随着静摩擦力的增加而增大,在发生滑动时减小。此外,针对神经假肢的滑动感知,设计了一种定制的信号编码电路,将电容信号转换为由施加的滑动摩擦力调制的仿生脉冲信号。测试结果证明了这种具有触觉力方向和动态灵敏度的新型仿生柔性传感器在智能神经假肢方面的巨大潜力。