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March 21, 2026Advanced Functional Materials8 citations

Intelligent, Robust and Biomimetic Textile Sliding Tactile Sensor With Ultrabroad Frequency Perception for Cross‐Domain Object Recognition

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XZXianhong ZhengSWShuai WangRZRunrun Zhang

Key Points

  • The aim is to develop a tactile sensor that replicates human touch for enhanced robotics applications.
  • Developed a bionic textile-based tactile sensor with 3D honeycomb structure and interdigitated electrode.
  • Tested sensor for vibration detection (5–600 Hz) and static pressure.
  • Integrated the sensor with a glove and machine learning framework for real-time recognition.
  • Achieved over 98.8% accuracy in recognizing various objects.
  • Demonstrated ultra-broad frequency detection beyond human vibrotactile limits.
  • Showed excellent abrasion resistance, withstanding 2000 cycles of high abrasion.

Abstract

ABSTRACT Wireless intelligent tactile perception systems that can replicate human touch are urgently needed for sensory restoration in the dexterous neuroprosthetics and humanoid robots. However, a key challenge, is achieving simultaneous microstructural sensing and large‐area pattern recognition, primarily due to the difficulty in detecting both high‐frequency vibrations and static pressure. Herein, we report a bionic, textile‐based sliding tactile sensor (BTSTS) featuring a Janus 3D honeycomb‐structured sensing electrode paired with an interdigitated electrode. The BTSTS exhibits excellent hydrophobicity, abrasion resistance (withstanding record‐high abrasion 2000 cycles), and exceptional capabilities in perceiving both static pressure and vibrations (5–600 Hz). It represents the first piezoresistive tactile sensor with an ultra‐broad frequency‐detection range surpassing the human vibrotactile limit (98.8%) in identifying diverse objects, bridging material innovation with edge‐computing to advance haptic intelligence for human‐robot interaction and sensory augmentation.

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Cite This Study

Zheng et al. (2026) studied this question.

synapsesocial.com/papers/69be37626e48c4981c676f66https://doi.org/10.1002/adfm.74971
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