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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.
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...
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...
Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.

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Related Experiment Video

Updated: Jul 5, 2026

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

High-resolution real-time mechanochromic tactile sensors.

Giacomo Sasso1,2, Alessandro Pagani2, Aaron M Duncan1

  • 1School of Engineering and Materials Science, Queen Mary University of London, London, UK.

Science Advances
|July 3, 2026
PubMed
Summary

New mechanochromic tactile sensors achieve high-resolution, real-time sensing without computational latency. This breakthrough overcomes limitations in current robotic tactile sensing technologies for improved object manipulation and interaction.

Related Experiment Videos

Last Updated: Jul 5, 2026

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:

  • Robotics
  • Materials Science
  • Sensor Technology

Background:

  • High-resolution, real-time tactile sensing is crucial for advanced robotic manipulation.
  • Existing tactile sensors face a trade-off between spatial resolution and response speed.
  • Current vision-based tactile sensors achieve high resolution but introduce computational latency.

Purpose of the Study:

  • To develop a novel tactile sensor technology that combines high resolution and real-time operation.
  • To overcome the limitations of existing taxel-based and vision-based tactile sensors.
  • To enable simpler, faster, and more accurate tactile sensing for robotic applications.

Main Methods:

  • Developed mechanochromic tactile sensors by embedding a stretchable Bragg reflector between soft silicone layers.
  • Engineered the sensor's thickness to map contact pressure or strain.
  • Utilized direct encoding of mechanical strain into structural colors for sensing.

Main Results:

  • Achieved tactile sensing with approximately 100 micrometer resolution.
  • Demonstrated real-time operation without computational latency.
  • Generated topological maps of a fingertip, a penny, and a leaf with high fidelity.

Conclusions:

  • Mechanochromic tactile sensors offer a simple yet powerful solution for high-resolution, real-time tactile sensing.
  • This technology eliminates the need for deep learning-based data enhancement in vision-based tactile sensing.
  • The sensors have transformative potential for robotic gripping, product inspection, and human-robot interaction.