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<p>The accelerated advancement of embodied intelligence has driven robots to increasingly replace humans for tasks in extreme environments. Tactile sensing plays a crucial role in robotic perception, offering a more robust solution than vision-based systems, especially under poor illumination, occlusions, or cluttered environments. Herein, we introduce a liquid metal film-based passive tactile sensor (LMFBT-S) that operates on a novel mechano-electrochemical transduction principle: the modulation of the electric double layer (EDL) potential at the interface in response to mechanical deformation. The sensor exhibits a suite of high-performance characteristics, including a low detection limit of 0.4 kPa, rapid response and recovery times (20 and 29 ms, respectively), and excellent durability, withstanding over 12000 compression cycles with minimal degradation. Another key contribution of this work is the successful integration of the LMFBT-S into intelligent systems for diverse real-world applications. The sensor demonstrated high-fidelity tracking of the human pulse wave, enabling nondestructive robotic contact with delicate objects. Moreover, when combined with an artificial neural network, the proposed sensor achieved 100% accuracy in recognizing canonical shapes. Most compellingly, a multimodal tactile system based on the LMFBT-S was successfully applied to a simulated post-earthquake rescue scenario, where the synergistic fusion of normal and tangential force data enabled 100% recognition accuracy for diverse materials.</p>

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A liquid metal film-based passive tactile sensor for robotic perception

  • 期刊论文

  • 发表日期：

    2026年4月28日

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  • Mingyuan Sun,
  • Du-An Ge,
  • Gang Ma,
  • Erlong Wang,
  • Xuanhan Chen,
  • Shuai Dong,
  • Xiangpeng Li,
  • Shiwu Zhang

摘要

The accelerated advancement of embodied intelligence has driven robots to increasingly replace humans for tasks in extreme environments. Tactile sensing plays a crucial role in robotic perception, offering a more robust solution than vision-based systems, especially under poor illumination, occlusions, or cluttered environments. Herein, we introduce a liquid metal film-based passive tactile sensor (LMFBT-S) that operates on a novel mechano-electrochemical transduction principle: the modulation of the electric double layer (EDL) potential at the interface in response to mechanical deformation. The sensor exhibits a suite of high-performance characteristics, including a low detection limit of 0.4 kPa, rapid response and recovery times (20 and 29 ms, respectively), and excellent durability, withstanding over 12000 compression cycles with minimal degradation. Another key contribution of this work is the successful integration of the LMFBT-S into intelligent systems for diverse real-world applications. The sensor demonstrated high-fidelity tracking of the human pulse wave, enabling nondestructive robotic contact with delicate objects. Moreover, when combined with an artificial neural network, the proposed sensor achieved 100% accuracy in recognizing canonical shapes. Most compellingly, a multimodal tactile system based on the LMFBT-S was successfully applied to a simulated post-earthquake rescue scenario, where the synergistic fusion of normal and tangential force data enabled 100% recognition accuracy for diverse materials.