Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

369
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.
369
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

6.0K
The skin is the largest organ of the human body and plays a crucial role in our sensory perception. It contains a vast network of sensory receptors that contribute to the skin's protective function by perceiving physical, biological, and environmental cues and generating relevant responses.
There are two main categories of receptors on the skin: capsulated and non-capsulated. The non-capsulated ones are mainly the pain receptors. The capsulated ones can be further categorized based on the...
6.0K
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

455
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...
455
Somatosensation01:33

Somatosensation

38.7K
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.
38.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bio-integrated μBots with overtone ultrawideband magnetoelectric antennas for wireless telemetry.

Science advances·2026
Same author

Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors.

Nature communications·2026
Same author

Barium Titanate-Coated Cobalt Ferrite Core-Shell Magnetoelectric Nanoparticles for Wireless Actuation Technologies.

ACS applied nano materials·2025
Same author

Transparent and Transient Flexible Electronics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Site-Specific Growth and Printing of Nanowires for Resource Efficient Fabrication of Flexible Electronics.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Fully degradable, transparent, and flexible photodetectors using ZnO nanowires and PEDOT:PSS based nanofibres.

Npj flexible electronics·2025

Related Experiment Video

Updated: Sep 21, 2025

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
06:21

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

10.5K

Printed synaptic transistor-based electronic skin for robots to feel and learn.

Fengyuan Liu1, Sweety Deswal1, Adamos Christou1

  • 1Bendable Electronics and Sensing Technologies (BEST) group, James Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK.

Science Robotics
|June 1, 2022
PubMed
Summary

Researchers developed advanced electronic skin (e-skin) with zinc oxide nanowire synaptic transistors for robots. This e-skin mimics biological learning, enabling robots to develop pain reflexes and improve performance through practice.

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.8K
Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
10:35

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

Published on: February 25, 2020

8.4K

Related Experiment Videos

Last Updated: Sep 21, 2025

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
06:21

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

10.5K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.8K
Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
10:35

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

Published on: February 25, 2020

8.4K

Area of Science:

  • Materials Science
  • Robotics
  • Neuroscience

Background:

  • Next-generation robots require electronic skin (e-skin) with multimodal sensing and memory capabilities.
  • Achieving uniform, large-area electronic devices with synaptic behavior is crucial for bio-like robotic sensing.

Purpose of the Study:

  • To develop high-quality, uniform synaptic transistors on flexible substrates for advanced e-skin.
  • To demonstrate the potential of these transistors for in-hardware learning and bio-like robotic sensation.

Main Methods:

  • Fabrication of a 12-by-14 array of synaptic transistors using printed ZnO nanowires on a flexible substrate.
  • Characterization of device performance, including synaptic behavior (excitatory/inhibitory post-synaptic current, plasticity, memory transition).
  • Integration into a prototype computational e-skin with event-driven sensors and spiking neurons for robotic hand application.

Main Results:

  • Achieved 100% yield and high uniformity in the fabricated ZnO nanowire synaptic transistors.
  • Demonstrated robust bio-like synaptic behavior, including short-term to long-term memory transition.
  • Successfully implemented a computational e-skin capable of associative learning and acquiring a pain reflex in a robotic hand.

Conclusions:

  • The developed synaptic transistors exhibit excellent bio-like properties, paving the way for advanced in-hardware learning in robots.
  • The computational e-skin prototype showcases the potential for localized peripheral nervous system-like learning, reducing data latency and cognitive load.
  • This technology offers a significant advancement in creating robots with more natural and adaptive sensory experiences.