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  1. Home
  2. Ultrastable Soft Capacitive Tactile Sensor With Impedance-modulated Signal.
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  2. Ultrastable Soft Capacitive Tactile Sensor With Impedance-modulated Signal.

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Ultrastable Soft Capacitive Tactile Sensor with Impedance-Modulated Signal.

Tingting Yu1, Yebo Tao2, Hongyao Tang3

  • 1School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China.

Soft Robotics
|May 20, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces an ultrastable soft capacitive tactile sensor using impedance modulation. This novel approach overcomes stability issues caused by parasitic capacitance and resistance in wearable electronics.

Keywords:
liquid metalspressure sensorsresonatorstrain sensorsstretchable

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Biomedical Engineering

Background:

  • Soft capacitive tactile sensors are crucial for human-machine interfaces and wearables.
  • Parasitic capacitance and resistance in electrical connections compromise sensor stability.
  • Existing solutions like coaxial cables limit flexibility and robustness.

Purpose of the Study:

  • To develop an ultrastable soft capacitive tactile sensor.
  • To overcome limitations of conventional sensor designs.
  • To enable robust and flexible tactile sensing for advanced applications.

Main Methods:

  • Developed an impedance-modulated sensor using a series resonant circuit.
  • Converted capacitive signals to impedance-modulated signals for stability.
  • Investigated the effect of compressive stress on liquid metal elastomer dielectric properties.
  • Main Results:

    • Achieved ultrastability against parasitic capacitance and resistance.
    • Demonstrated conversion of capacitive signals to stable impedance-modulated signals.
    • Showcased compressive stress decreasing equivalent series resistance (ESR) and affecting the signal.

    Conclusions:

    • The impedance-modulated sensor offers enhanced stability for soft capacitive tactile sensors.
    • The sensor's performance is validated through theoretical, numerical, and experimental analyses.
    • Applications in human-machine interaction and wearable electronics are demonstrated.