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Impedance-Modulated Soft Strain Sensor with High Stability for Humanoid Robots.

Yebo Tao1, Tingting Yu2, Cheng Jin3

  • 1College of Intelligent Manufacturing, Jiaxing Vocational & Technical College, Jiaxing Zhejiang 314036, China.

ACS Applied Materials & Interfaces
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel impedance-modulated soft strain sensor for humanoid robots. It effectively suppresses interference, enhancing stability and enabling reliable strain measurement in complex robotic systems.

Keywords:
filtersflexible sensorsliquid metalsresistive sensorsresonance

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Area of Science:

  • Robotics
  • Materials Science
  • Electrical Engineering

Background:

  • Soft strain sensors are vital for humanoid robots but face interference from electrical resistance and electromagnetic fields within robots.
  • Existing sensors struggle with signal integrity due to internal robotic environments.

Purpose of the Study:

  • To develop a highly stable, impedance-modulated soft strain sensor for humanoid robots.
  • To overcome interference issues from line resistance, contact resistance, and electromagnetic interference (EMI).

Main Methods:

  • Designed a sensor using a liquid metal (LM) resistor, capacitor, and inductor as a passive band-stop filter within a soft elastomer.
  • Analyzed sensor stability, sensitivity, and measurement feasibility using filter theory and component selection.
  • Implemented a Field Programmable Gate Array (FPGA)-based system for signal acquisition.

Main Results:

  • The sensor converts resistance changes due to strain into impedance-modulated signals.
  • A series connection of resistance and inductance achieved high impedance at resonance, suppressing interference.
  • The sensor demonstrated immunity to EMI from humanoid robot motor drivers.

Conclusions:

  • The proposed impedance-modulated soft strain sensor offers high stability and EMI immunity for humanoid robots.
  • This technology is applicable to humanoid robots and wearable devices, improving human-robot interaction.