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Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

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A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
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Interdigitated Sensor Based on a Silicone Foam for Subtle Robotic Manipulation.

Masoumeh Hesam Mahmoudinezhad1, Iain Anderson1, Samuel Rosset1

  • 1Biomimetics Laboratory, Auckland Bioengineering Institute, Auckland, 1010, New Zealand.

Macromolecular Rapid Communications
|December 4, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a soft sensor using silicone foam to measure compressive forces, enabling robots to handle delicate objects safely. Controlling foam porosity optimizes sensor sensitivity for improved robotic interaction.

Keywords:
capacitive sensorscompression sensorsdielectric elastomersinterdigitated electrodessoft roboticstactile sensors

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Area of Science:

  • Materials Science
  • Robotics
  • Sensor Technology

Background:

  • Conventional robotic manipulators often lack the delicate touch required for interacting with soft or fragile objects.
  • Proprioceptive capabilities, or the sense of force and position, are crucial for safe and effective robotic manipulation.

Purpose of the Study:

  • To develop a soft sensor for measuring compressive forces up to 50 N.
  • To enhance robotic manipulators with proprioceptive capabilities for safe interaction with delicate materials.

Main Methods:

  • A soft sensor configuration utilizing silicone foam with interdigitated electrodes was developed.
  • The sensor operates by measuring changes in relative permittivity due to foam compression within an electric field.
  • A model was used to analyze the impact of foam parameters (porosity, permittivity, Young's modulus) on sensor performance.

Main Results:

  • The silicone foam soft sensor demonstrated high sensitivity, achieving a 33% capacitance change for a 10 N applied force.
  • Controlling foam porosity was identified as key to optimizing sensor sensitivity.
  • The sensor is easily fabricated and does not require compliant electrodes.

Conclusions:

  • The developed soft sensor provides a viable method for imparting proprioception to hard-bodied robots.
  • This technology facilitates safer interaction between robotic systems and soft, fragile objects.
  • The sensor's design offers a balance of sensitivity, ease of fabrication, and cost-effectiveness.