Cao Chengran, Wang Guocheng, Liu Yixin, Zhang Min
Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
PengCheng Laboratory, Shenzhen 518000, China.
Sensors (Basel). 2025 Aug 15;25(16):5078. doi: 10.3390/s25165078.
High-density tactile sensor arrays that replicate human touch could restore texture perception in paralyzed individuals. However, conventional tactile sensor arrays face inherent trade-offs between spatial resolution, sensitivity, and crosstalk suppression due to microstructure size limitations and signal interference. To address this, we developed a tactile sensor featuring 10 μm-scale pyramid tips that achieve ultra-high sensitivity (8.082 kPa in 0.2-0.5 kPa range). By integrating a flexible resistive sensing layer with a 256 × 256 active-matrix thin-film transistor (TFT) readout system, our design achieves 500 μm spatial resolution-surpassing human fingertip discrimination thresholds. The sensor demonstrates rapid response (125 ms), exceptional stability (>1000 cycles), and successful reconstruction of 500 μm textures and Braille patterns. This work establishes a scalable platform for high-fidelity tactile perception in static fine texture recognition.
能够复制人类触觉的高密度触觉传感器阵列可以恢复瘫痪个体的纹理感知能力。然而,由于微观结构尺寸限制和信号干扰,传统的触觉传感器阵列在空间分辨率、灵敏度和串扰抑制之间面临固有的权衡。为了解决这个问题,我们开发了一种具有10微米尺度金字塔尖端的触觉传感器,该传感器在0.2 - 0.5千帕范围内实现了超高灵敏度(8.082千帕)。通过将柔性电阻传感层与256×256有源矩阵薄膜晶体管(TFT)读出系统集成,我们的设计实现了500微米的空间分辨率,超过了人类指尖的辨别阈值。该传感器展示了快速响应(125毫秒)、卓越的稳定性(>1000次循环),并成功重建了500微米的纹理和盲文图案。这项工作为静态精细纹理识别中的高保真触觉感知建立了一个可扩展的平台。