Recent Progress in Flexible Piezoelectric Tactile Sensors: Materials, Structures, Fabrication, and Application
Jinsheng Tang,
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Yiheng Li,
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Yirong Yu
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et al.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 964 - 964
Published: Feb. 5, 2025
Flexible
tactile
sensors
are
widely
used
in
aerospace,
medical
and
health
monitoring,
electronic
skin,
human–computer
interaction,
other
fields
due
to
their
unique
advantages,
thus
becoming
a
research
hotspot.
The
goal
is
develop
flexible
sensor
characterized
by
outstanding
sensitivity,
extensive
detection
range
linearity,
elevated
spatial
resolution,
commendable
adaptability.
Among
several
strategies
like
capacitive,
piezoresistive,
triboelectric
sensors,
etc.,
we
focus
on
piezoelectric
because
of
self-powered
nature,
high
quick
response
time.
These
can
respond
wide
dynamic
mechanical
stimuli
turn
them
into
measurable
electrical
signals.
This
makes
it
possible
accurately
detect
objects,
including
shapes
textures,
for
sense
touch
real
work
encapsulates
current
advancements
focusing
enhanced
material
properties,
optimized
structural
design,
improved
fabrication
techniques,
broadened
application
domains.
We
outline
the
challenges
facing
provide
inspiration
guidance
future
development.
Language: Английский
Self-powered sensing for health monitoring and robotics
Soft Science,
Journal Year:
2025,
Volume and Issue:
5(1)
Published: Feb. 14, 2025
Self-powered
sensing
technology
plays
a
key
role
in
autonomous
and
portable
systems,
with
applications
health
monitoring
robotics.
These
sensors,
which
do
not
rely
on
external
power
sources,
offer
stable,
continuous
data
acquisition
for
real-time
complex
interactions.
For
instance,
triboelectric
nanogenerators
have
enabled
self-powered
wearable
sensors
to
monitor
vital
signs
such
as
heart
beat
rate
respiration
by
converting
body
movement
into
electrical
energy,
eliminating
the
need
batteries.
Despite
their
advantages,
challenges
remain
large-scale
manufacturing,
miniaturization,
multifunctional
integration.
Overcoming
these
may
require
innovative
advances
novel
materials,
intelligent
algorithms,
integration
strategies.
This
perspective
summarizes
recent
existing
technologies
robotics
applications,
provides
an
outlook
future
development.
Language: Английский
High-Performance Bionic Tactile Sensing Method for Temperature and Pressure Based on Triboelectric Nanogenerator and Micro-Thermoelectric Generator
Changxin Liu,
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Runhe Chen,
No information about this author
Peihan Huang
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et al.
Journal of Bionic Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 29, 2025
Language: Английский
Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence
Yi‐Feng Su,
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D.L. Yin,
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Xinmao Zhao
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et al.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2520 - 2520
Published: April 17, 2025
The
integration
of
Deep
Learning
with
sensor
technologies
has
significantly
advanced
the
field
intelligent
sensing
and
decision
making
by
enhancing
perceptual
capabilities
delivering
sophisticated
data
analysis
processing
functionalities.
This
review
provides
a
comprehensive
overview
synergy
between
sensors,
particular
focus
on
applications
triboelectric
nanogenerator
(TENG)-based
self-powered
sensors
combined
artificial
intelligence
(AI)
algorithms.
First,
evolution
is
reviewed,
highlighting
advantages,
limitations,
application
domains
several
classical
models.
Next,
innovative
in
autonomous
driving,
wearable
devices,
Industrial
Internet
Things
(IIoT)
are
discussed,
emphasizing
critical
role
neural
networks
precision
capabilities.
then
delves
into
TENG-based
introducing
their
mechanisms
based
contact
electrification
electrostatic
induction,
material
selection
strategies,
novel
structural
designs,
efficient
energy
conversion
methods.
algorithms
showcased
through
groundbreaking
motion
recognition,
smart
healthcare,
homes,
human–machine
interaction.
Finally,
future
research
directions
outlined,
including
multimodal
fusion,
edge
computing
integration,
brain-inspired
neuromorphic
computing,
to
expand
robotics,
space
exploration,
other
high-tech
fields.
offers
theoretical
technical
insights
collaborative
innovation
technologies,
paving
way
for
development
next-generation
systems.
Language: Английский
The structure, material and performance of multi-functional tactile sensor and its application in robot field: A review
Materials Today,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
Hollow Polyaniline Microspheres Decorated Fabric Sensor with Electromagnetic Wave‐Absorbing and Multimodal Sensing Toward Human–Machine Interaction
Jun Wang,
No information about this author
Kai Yan,
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Xiao Li
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et al.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 12, 2024
Abstract
Developing
comfortable,
protective,
and
reliable
monitoring
wearable
devices
is
of
great
significance
for
next‐generation
electronic
devices.
However,
previously
reported
fabrics
have
proven
inadequate
cross‐mechanism
sensing
integration
electromagnetic
wave
(EMW)
protection.
To
address
these,
an
wave‐absorbing
flexible
device
with
multimodal
capabilities
fabricated
based
on
cotton
fabric
through
polypyrrole
(PPy)
in
situ
growth
as
well
dip‐coating
polyaniline
hollow
microspheres
(PHMs)
amino
silane
modified
polyurethane.
It
demonstrates
excellent
properties
(Reflection
loss
peak:
−48.20
dB,
Effective
absorption
bandwidth:4.2
GHz).
Remarkably,
three
units
been
all
integrated
by
a
principle
(strain,
temperature,
triboelectric
nanogenerator)
all‐in‐one
structural
configuration.
The
motion
unit
shows
quick
response
(225
ms)
recovery
(285
times
high
sensitivity
(Gage
factor
≈9.2).
temperature
has
0.59%
K
−1
.
self‐powered
tactile
exhibits
output
voltage
(41
V),
maximum
instantaneous
power
density
(1.9
W
m
−2
),
detects
touching
incentive
within
0.3
s.
Smart
human–machine
interaction
demonstrated
applications
like
morse
code,
detection.
This
study
serves
proof‐of‐concept
new
smart
textiles,
showcasing
potential
devices,
artificial
intelligence,
interactions.
Language: Английский