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Related Concept Videos

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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Direct-Ink-Writing Multifunctional Flexible Robotic Electronic Skin.

Qiang He1, Mon Myat Swe1, Hailu Wang1

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.

ACS Applied Materials & Interfaces
|December 17, 2025
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Summary

Researchers developed a customizable robotic electronic skin (e-skin) using direct-ink writing. This scalable multimodal sensor platform detects pressure, temperature, and shear forces, enhancing robotic capabilities.

Keywords:
direct-ink-writingflexible tactile sensorsmultimodal sensingobject recognitionrobotic manipulation

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Area of Science:

  • Robotics
  • Materials Science
  • Sensor Technology

Background:

  • Robotic electronic skin (e-skin) faces challenges in scalability, cost, and design flexibility.
  • Existing e-skins struggle to support multimodal sensing and customization.

Purpose of the Study:

  • To develop a scalable and customizable robotic e-skin using direct-ink writing technology.
  • To enable multimodal sensing (pressure, temperature, shear force) with facile sensor design modifications.

Main Methods:

  • Fabrication of e-skin using direct-ink writing technology.
  • Development of pyramid-structured tactile sensors for pressure detection.
  • Creation of a 4x9 flexible sensor array for pressure mapping.
  • Integration with a robotic gripper and K-nearest neighbor classifier for object recognition.
  • Modification of sensing layers for temperature and shear force detection.

Main Results:

  • The tactile sensor achieved high sensitivity (670 kPa⁻¹) and long-term stability (>3500 cycles) with minimal signal drift (<3%).
  • A 4x9 sensor array enabled real-time pressure mapping on various surfaces.
  • Object recognition accuracy reached 97.7% when integrated with a robotic gripper.
  • The e-skin demonstrated dual-mode sensing capabilities for temperature and shear force.

Conclusions:

  • Direct-ink writing offers a scalable and customizable approach for fabricating multimodal robotic e-skin.
  • The developed e-skin platform exhibits high performance and versatility for robotics, prosthetics, and human-machine interfaces.