Science Advances,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Jan. 5, 2024
Future
exploitation
of
marine
resources
in
a
sustainable
and
eco-friendly
way
requires
autonomous
underwater
robotics
with
human-like
perception.
However,
the
development
such
intelligent
robots
is
now
impeded
by
lack
adequate
haptic
sensing
technology.
Inspired
populational
coding
strategy
human
tactile
system,
we
harness
giant
magnetoelasticity
soft
polymer
systems
as
an
innovative
platform
technology
to
construct
multimodal
robotic
skin
for
object
recognition
intrinsic
waterproofness
simple
configuration.
The
bioinspired
magnetoelastic
artificial
enables
multiplexed
modality
each
single
taxel
obtains
impressive
classification
rate
95%
identifying
seven
types
creatures
litter.
By
introducing
another
degree
freedom
sensing,
this
work
represents
milestone
toward
resource
exploitation.
Small,
Journal Year:
2023,
Volume and Issue:
19(27)
Published: April 3, 2023
Abstract
Human
beings
have
a
greater
need
to
pursue
life
and
manage
personal
or
family
health
in
the
context
of
rapid
growth
artificial
intelligence,
big
data,
Internet
Things,
5G/6G
technologies.
The
application
micro
biosensing
devices
is
crucial
connecting
technology
personalized
medicine.
Here,
progress
current
status
from
biocompatible
inorganic
materials
organic
composites
are
reviewed
material‐to‐device
processing
described.
Next,
operating
principles
pressure,
chemical,
optical,
temperature
sensors
dissected
these
flexible
biosensors
wearable/implantable
discussed.
Different
systems
acting
vivo
vitro,
including
signal
communication
energy
supply
then
illustrated.
potential
in‐sensor
computing
for
applications
sensing
also
Finally,
some
essential
needs
commercial
translation
highlighted
future
opportunities
considered.
InfoMat,
Journal Year:
2023,
Volume and Issue:
5(5)
Published: March 23, 2023
Abstract
Intelligent
perception
means
that
with
the
assistance
of
artificial
intelligence
(AI)‐motivated
brain,
flexible
sensors
achieve
ability
memory,
learning,
judgment,
and
reasoning
about
external
information
like
human
brain.
Due
to
superiority
machine
learning
(ML)
algorithms
in
data
processing
intelligent
recognition,
systems
possess
match
or
even
surpass
systems.
However,
built‐in
these
need
work
on
dynamic
irregular
surfaces,
inevitably
affecting
precision
fidelity
acquired
data.
In
recent
years,
strategy
introducing
developed
functional
materials
innovative
structures
into
has
made
some
progress
toward
above
challenges,
blessing
ML
algorithms,
accurate
various
scenarios
have
been
achieved.
Here,
most
representative
for
constructing
are
comprehensively
reviewed,
research
based
is
further
summarized,
intersection
two
expected
unlock
new
opportunities
next‐stage
AI
development.
image
ACS Applied Nano Materials,
Journal Year:
2023,
Volume and Issue:
6(3), P. 1522 - 1540
Published: Jan. 20, 2023
Textiles
are
turning
into
a
suitable
next-generation
sensing
platform
because
of
their
good
breathability,
softness,
and
structural
elasticity.
Besides,
research
on
self-powered
piezoelectric
sensors
is
hot
topic
in
wearable
applications;
they
can
perform
long-term
monitoring.
Therefore,
this
paper
mainly
reviews
the
development
progress
PVDF-based
textiles
flexible
sensors.
In
paper,
we
first
introduce
principle
effect
classification
materials;
then
summarize
structure
characteristics
nanofiber
mat-based,
yarn-based,
fabric-based
approaches
that
employed
to
fabricate
textile
such
as
melt
spinning,
electrospinning,
stretch
forming
processes,
so
on.
At
last,
review
applicability
application
electronic
skin,
human–computer
interaction,
healthcare,
human
movement
monitoring
demonstrate
facing
difficulties
future
directions
Small,
Journal Year:
2022,
Volume and Issue:
19(1)
Published: Nov. 17, 2022
Abstract
Recently,
flexible
stretchable
sensors
have
been
gaining
attention
for
their
excellent
adaptability
electronic
skin
applications.
However,
the
preparation
of
strain
that
achieve
dual‐mode
sensing
while
still
retaining
ultra‐low
detection
limit
strain,
high
sensitivity,
and
low
cost
is
a
pressing
task.
Herein,
high‐performance
sensor
(DMSSS)
based
on
biomimetic
scorpion
foot
slit
microstructures
multi‐walled
carbon
nanotubes
(MWCNTs)/graphene
(GR)/silicone
rubber
(SR)/Fe
3
O
4
nanocomposites
proposed,
which
can
accurately
sense
magnetic
stimuli.
The
DMSSS
exhibits
large
range
(≈160%),
sensitivity
up
to
100.56
(130–160%),
an
(0.16%
strain),
superior
durability
(9000
cycles
stretch/release).
recognize
sign
language
movement,
as
well
realize
object
proximity
information
perception
whole
process
monitoring.
Furthermore,
human
joint
movements
micro‐expressions
be
monitored
in
real‐time.
Therefore,
this
work
opens
promising
prospects
applications
pose
recognition,
non‐contact
sensing,
human‐computer
interaction,
skin.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(13), P. 4002 - 4011
Published: March 25, 2024
Empowering
robots
with
tactile
perception
and
even
thinking
as
well
judgment
capabilities
similar
to
those
of
humans
is
an
inevitable
path
for
the
development
future
robots.
Here,
we
propose
a
biomimetic
electronic
skin
(BES)
that
truly
serves
applies
achieve
superior
dynamic-static
material
cognition
functionalities.
First,
microstructured
triboelectric
piezoresistive
layers
are
fabricated
by
facile
template
method
followed
selected
self-polymerization
treatment,
enabling
BES
high
sensitivity
wide
detection
range.
Further,
through
laminated-independent
parts
perceiving
dynamic
static
pressures
simultaneously,
capable
supporting
robot
hand
monitor
entire
process
during
object
grasping.
Most
importantly,
further
combining
neural
network
model,
intelligent
system
constructed
real-time
species
via
one
touch
under
arbitrary
pressures,
which
goes
beyond
human
ability.
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
33(37)
Published: May 14, 2023
Abstract
Developing
versatile
and
high
sensitivity
sensors
is
beneficial
for
promoting
flexible
electronic
devices
human‐machine
interactive
systems.
Researchers
are
working
on
the
exploration
of
various
active
sensing
materials
toward
broad
detection,
multifunction,
low‐power
consumption.
Here,
a
ion‐gel
fibrous
membrane
presented
by
electrospinning
technology
utilized
to
construct
capacitive
triboelectric
nanogenerator
(TENG).
The
iontronic
sensor
exhibits
inherently
favorable
repeatability,
which
retains
long‐term
stability
after
5000
cycles.
can
also
detect
clear
pulse
waveform
at
human
wrist
enable
mapping
pressure
distribution
sensory
matrix.
For
TENG,
maximum
peak
power
54.56
µW
be
used
commercial
electronics.
In
addition,
prepared
TENG
array
achieve
interactive,
rapidly
responsive,
accurate
dynamic
monitoring,
broadens
direct
effective
devices.
promising
provide
an
outstanding
approach
physiological
biomechanical
energy
harvesting,
interaction,
self‐powered
monitoring
Advanced Materials Technologies,
Journal Year:
2023,
Volume and Issue:
8(11)
Published: April 4, 2023
Abstract
Capacitive
sensors
have
advanced
rapidly
to
create
new
applications
including
wearable
for
human
health
monitoring,
integrated
intelligent
surgical
devices,
tactile
interfaces
robots.
Compared
other
types
of
pressure
or
strain
sensors,
capacitive
require
low
power
consumption
and
offer
excellent
linearity
fast
response
time.
Herein,
this
review
concentrates
on
the
recent
advancements
developments
high‐performance
with
materials
microstructures,
which
significantly
enhance
their
sensitivity,
accuracy,
linearity,
This
work
also
provides
a
applications,
from
current
challenges
future
opportunities
are
proposed
discussed.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
11(3)
Published: Nov. 29, 2023
Abstract
Developing
electronic
skins
(e‐skins)
that
are
comparable
to
or
even
beyond
human
tactile
perception
holds
significant
importance
in
advancing
the
process
of
intellectualization.
In
this
context,
a
machine‐learning‐motivated
micropyramid
array
bimodal
(MAB)
e‐skin
based
on
capacitive
sensing
is
reported,
which
enables
spatial
mapping
applications
(proximity
and
pressure)
implemented
via
fringing
iontronic
effects,
such
as
contactless
measurement
3D
objects
contact
recognition
Braille
letters.
Benefiting
from
effect
single‐micropyramid
structure,
MAB
pressure
mode
yields
impressive
features:
maximum
sensitivity
655.3
kPa
−1
(below
0.5
kPa),
linear
327.9
(0.5–15
an
ultralow
limit
detection
0.2
Pa.
With
assistance
multilayer
perceptron
convolutional
neural
network,
can
accurately
perceive
6
materials
10
surface
shapes
training
learning
using
collected
datasets
proximity
modes,
thus
allowing
it
achieve
precise
different
within
one
proximity‐pressure
cycle.
The
development
opens
new
avenue
for
robotic
skin
expansion
advanced
applications.