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Sandwich Miura-Ori Enabled Large Area, Super Resolution Tactile Skin for Human-Machine Interactions.

Qian Xu1, Zhiwei Yang2, Zhengjun Wang1

  • 1Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, 999077, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 19, 2025
PubMed
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A novel sandwich Miura-ori (SMo) tactile skin offers super-resolution sensing for normal and shear forces. This cost-effective technology enables accurate touch localization and force estimation for large-area applications.

Area of Science:

  • Materials Science
  • Robotics
  • Electronics

Background:

  • Flexible tactile sensors are crucial for human-machine interactions.
  • Large-area sensing with low cost and minimal sensing units presents a significant challenge.
  • Existing sensor arrays increase complexity and cost due to intricate wiring.

Purpose of the Study:

  • To propose a sandwich Miura-ori (SMo)-enabled super-resolution tactile skin.
  • To develop a theoretical model accounting for manufacturing variations for adaptable tactile skin design.
  • To demonstrate a cost-effective solution for large-area tactile sensing.

Main Methods:

  • Fabrication of a sandwich Miura-ori structure for tactile sensing.
  • Development of a theoretical model incorporating manufacturing process impacts.
Keywords:
human–machine interactionslarge area sensingsuper resolutiontactile sensor

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  • Application of machine learning for touch localization and force estimation.
  • Design and fabrication of curved SMo skin using tessellation algorithm.

    • Main Results:

    • Accurate touch input localization with an average error of 1.89 mm.
    • Precise external force estimation with an average error of 8%.
    • Successful demonstration of a curved SMo skin on a robotic arm for motion control.

    Conclusions:

    • The proposed SMo tactile skin provides a straightforward and cost-effective method for super-resolution sensing.
    • This technology offers a viable solution for future large-area tactile sensor systems.
    • The developed theoretical model enhances the adaptability of tactile skins for diverse applications.