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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

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.
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Tactile and Chemical Senses01:27

Tactile and Chemical Senses

Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex. This...

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Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing
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Published on: March 17, 2023

Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection.

Zhen Wei1, Chunjiang Zhao1,2, Yuehua Huang1

  • 1College of Engineering and Technology, Southwest University, Chongqing 400715, China.

ACS Applied Materials & Interfaces
|June 30, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel dual-modulus microcone array for advanced tactile sensing and slip detection. This innovative sensor offers high sensitivity and durability for intelligent robotics and human-machine interfaces.

Keywords:
dual-modulus microstructuregraded deformationslip detectionsuperhydrophobicitytactile sensor

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Last Updated: Jul 1, 2026

Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing
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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
07:32

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

Area of Science:

  • Materials Science
  • Robotics
  • Sensor Technology

Background:

  • Conventional tactile sensors often lack the sensitivity and adaptability required for complex manipulation tasks.
  • Achieving graded tactile sensing and reliable slip detection remains a challenge in soft robotics and wearable electronics.

Purpose of the Study:

  • To develop a dual-modulus microcone array for enhanced tactile sensing and intelligent slip detection.
  • To investigate the performance of asymmetric microstructures in graded tactile sensing.
  • To integrate the sensor with a machine learning model for real-time adaptive control.

Main Methods:

  • Fabrication of asymmetric polydimethylsiloxane/carbon nanotube (PDMS/CNT) microneedle arrays with distinct Young's moduli.
  • Characterization of the sensor's mechanical response, sensitivity, response/recovery times, and durability.
  • Implementation of a superhydrophobic surface for environmental stability.
  • Integration with a one-dimensional convolutional neural network for slip detection and feedback control.

Main Results:

  • The dual-modulus design exhibited a hierarchical mechanical response, achieving high sensitivity (9.55 kPa⁻¹) over a broad pressure range (0.1-450 kPa).
  • The sensor demonstrated fast response/recovery (68/51 ms) and exceptional durability (>10,000 cycles).
  • A superhydrophobic surface ensured stable operation in diverse environmental conditions (10-70°C, wet environments).
  • The integrated system enabled real-time grip force regulation for delicate object manipulation, minimizing damage and contamination.

Conclusions:

  • The developed dual-modulus microcone array offers a promising platform for advanced tactile sensing and intelligent slip detection.
  • The combination of materials engineering and machine learning provides a robust solution for adaptive control in robotic systems.
  • This technology has significant implications for the development of sophisticated soft robotics, wearable electronics, and intelligent human-machine interfaces.