ACS Nano,
Год журнала:
2021,
Номер
15(12), С. 18708 - 18741
Опубликована: Дек. 9, 2021
Laser-induced
graphene
(LIG)
is
produced
rapidly
by
directly
irradiating
carbonaceous
precursors,
and
it
naturally
exhibits
as
a
three-dimensional
porous
structure.
Due
to
advantages
such
simple
preparation,
time-saving,
environmental
friendliness,
low
cost,
expanding
categories
of
raw
materials,
LIG
its
derivatives
have
achieved
broad
applications
in
sensors.
This
has
been
witnessed
various
fields
wearable
devices,
disease
diagnosis,
intelligent
robots,
pollution
detection.
However,
despite
sensors
having
demonstrated
an
excellent
capability
monitor
physical
chemical
parameters,
the
systematic
review
synthesis,
sensing
mechanisms,
them
combined
with
comparison
against
other
preparation
approaches
still
lacking.
Here,
graphene-based
for
physical,
biological,
detection
are
reviewed
first,
followed
introduction
general
methods
laser-induced
method
yield
graphene.
The
LIG,
properties
different
types
emerging
LIG-based
comprehensively
reviewed.
Finally,
possible
solutions
problems
challenges
preparing
proposed.
may
serve
detailed
reference
guide
development
that
possess
future
smart
health
care,
protection,
industrial
production.
Nature Communications,
Год журнала:
2020,
Номер
11(1)
Опубликована: Окт. 23, 2020
Designing
efficient
sensors
for
soft
robotics
aiming
at
human
machine
interaction
remains
a
challenge.
Here,
we
report
smart
soft-robotic
gripper
system
based
on
triboelectric
nanogenerator
to
capture
the
continuous
motion
and
tactile
information
gripper.
With
special
distributed
electrodes,
sensor
can
perceive
contact
position
area
of
external
stimuli.
The
gear-based
length
with
stretchable
strip
allows
detection
elongation
via
sequential
each
tooth.
sensory
collected
during
operation
is
further
trained
by
support
vector
algorithm
identify
diverse
objects
an
accuracy
98.1%.
Demonstration
digital
twin
applications,
which
show
object
identification
duplicate
robotic
manipulation
in
virtual
environment
according
real-time
system,
successfully
created
assembly
lines
unmanned
warehouse
applications.
Advanced Materials,
Год журнала:
2021,
Номер
33(42)
Опубликована: Сен. 5, 2021
Abstract
The
emergence
of
artificial
intelligence
and
the
Internet
Things
has
led
to
a
growing
demand
for
wearable
maintenance‐free
power
sources.
continual
push
toward
lower
operating
voltages
consumption
in
modern
integrated
circuits
made
development
devices
powered
by
body
heat
finally
feasible.
In
this
context,
thermoelectric
(TE)
materials
have
emerged
as
promising
candidates
effective
conversion
into
electricity
without
being
limited
environmental
conditions.
Driven
rapid
advances
processing
technology
performance
TE
over
past
two
decades,
generators
(WTEGs)
gradually
become
more
flexible
stretchable
so
that
they
can
be
used
on
complex
dynamic
surfaces.
review,
functional
materials,
techniques,
strategies
device
design
different
types
WTEGs
are
comprehensively
covered.
Wearable
self‐powered
systems
based
summarized,
including
multi‐function
modules,
hybrid
energy
harvesting,
all‐in‐one
devices.
Challenges
organic
interfacial
engineering,
assessments
discussed,
suggestions
future
developments
area
provided.
This
review
will
promote
implementation
electronic
systems.
Advanced Materials,
Год журнала:
2021,
Номер
34(16)
Опубликована: Дек. 12, 2021
Abstract
Medical
robots
are
invaluable
players
in
non‐pharmaceutical
treatment
of
disabilities.
Particularly,
using
prosthetic
and
rehabilitation
devices
with
human–machine
interfaces
can
greatly
improve
the
quality
life
for
impaired
patients.
In
recent
years,
flexible
electronic
soft
robotics
have
attracted
tremendous
attention
this
field
due
to
their
high
biocompatibility,
functionality,
conformability,
low‐cost.
Flexible
on
will
make
a
promising
alternative
conventional
rigid
devices,
which
potentially
revolutionize
paradigm
future
direction
medical
terms
feedback
user
experience.
review,
fundamental
components
materials,
structures,
mechanisms
human‐machine
summarized
by
renowned
applications
five
primary
areas:
physical
chemical
sensing,
physiological
recording,
information
processing
communication,
robotic
actuation,
stimulation.
This
review
further
concludes
discussing
outlook
current
challenges
these
technologies
as
interface
robotics.
Nature Communications,
Год журнала:
2021,
Номер
12(1)
Опубликована: Сен. 10, 2021
Sign
language
recognition,
especially
the
sentence
is
of
great
significance
for
lowering
communication
barrier
between
hearing/speech
impaired
and
non-signers.
The
general
glove
solutions,
which
are
employed
to
detect
motions
our
dexterous
hands,
only
achieve
recognizing
discrete
single
gestures
(i.e.,
numbers,
letters,
or
words)
instead
sentences,
far
from
satisfying
meet
signers'
daily
communication.
Here,
we
propose
an
artificial
intelligence
enabled
sign
recognition
system
comprising
sensing
gloves,
deep
learning
block,
virtual
reality
interface.
Non-segmentation
segmentation
assisted
model
achieves
50
words
20
sentences.
Significantly,
approach
splits
entire
signals
into
word
units.
Then
recognizes
all
elements
reversely
reconstructs
Furthermore,
new/never-seen
sentences
created
by
new-order
recombination
can
be
recognized
with
average
correct
rate
86.67%.
Finally,
results
projected
space
translated
text
audio,
allowing
remote
bidirectional
signers
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Сен. 5, 2022
Abstract
Advancements
of
virtual
reality
technology
pave
the
way
for
developing
wearable
devices
to
enable
somatosensory
sensation,
which
can
bring
more
comprehensive
perception
and
feedback
in
metaverse-based
society.
Here,
we
propose
augmented
tactile-perception
haptic-feedback
rings
with
multimodal
sensing
capabilities.
This
highly
integrated
ring
consists
triboelectric
pyroelectric
sensors
tactile
temperature
perception,
vibrators
nichrome
heaters
vibro-
thermo-haptic
feedback.
All
these
components
on
be
directly
driven
by
a
custom
wireless
platform
low
power
consumption
wearable/portable
scenarios.
With
voltage
integration
processing,
high-resolution
continuous
finger
motion
tracking
is
achieved
via
sensor,
also
contributes
superior
performance
gesture/object
recognition
artificial
intelligence
analysis.
By
fusing
functions,
an
interactive
metaverse
cross-space
capability
successfully
achieved,
giving
people
face-to-face
like
immersive
social
experience.
Materials & Design,
Год журнала:
2021,
Номер
211, С. 110164 - 110164
Опубликована: Окт. 12, 2021
Self-powered
devices
and
micro-sensors
are
in
high
demand
for
intelligent
electronics
flexible
wearables
applications
medical
healthcare
human–computer
interactive
robotics.
Flexible,
stretchable,
wearable
breathable
high-sensitivity
sensors
that
monitor
signals
from
subtle
changes
the
environment
provide
solutions
personalized
healthcare.
In
this
article,
we
review
fundamental
mechanisms,
theoretical
research,
sensor
fabrication
methodologies,
of
piezoelectric
materials.
We
focus
on
flexibility
stretchability
inorganic,
polymer,
bio-piezoelectric
materials,
explain
their
properties
physiological
signal
monitoring,
motion
detection,
force
sensing.
an
overview
latest
progress
piezoelectronics
photonics,
structures
devices,
self-powering
technologies.
compared
10
types
polymers
composites
with
human
skin
terms
elastic
modulus
found
PLLA/PDMS,
electro-spun
PVDF,
ZnO/PVDF
possess
higher
(50,
500,
27900
MPa
respectively)
than
(18.8
MPa),
thus
being
more
suitable
devices.
electrical
outputs
polarized
cast
film
has
stronger
property
output
14–45.6
V
filaments
material
(output
0.4–9
V).
Future
research
development
should
increasing
performance
while
maintaining
required
durability.
Advanced Materials,
Год журнала:
2022,
Номер
34(31)
Опубликована: Июнь 1, 2022
Traditional
electronic
skin
(e-skin),
due
to
the
lack
of
human-brain-like
thinking
and
judging
capability,
is
powerless
accelerate
pace
intelligent
era.
Herein,
artificial
intelligence
(AI)-motivated
full-skin
bionic
(FSB)
e-skin
consisting
structures
human
vellus
hair,
epidermis-dermis-hypodermis,
proposed.
Benefiting
from
double
interlocked
layered
microcone
structure
supercapacitive
iontronic
effect,
FSB
exhibits
ultrahigh
sensitivity
8053.1
kPa-1
(<1
kPa),
linear
3103.5
(1-34
fast
response/recovery
time
<5.6
ms.
In
addition,
it
can
realize
evolution
tactile
perception
advanced
cognition
after
being
equipped
with
a
"brain".
First,
static/dynamic
contactless
achieved
based
on
triboelectric
effect
hair
bionics.
Second,
structural
bionics
epidermis-dermis-hypodermis
five-layer
multilayer
(MLP)
enable
general
gesture
robot
interaction.
Most
importantly,
by
making
full
use
six-layer
MLP
neural
network,
an
material
system
developed
for
real-time
object
species
locations
via
one
contact,
which
surpasses
capability
humans.
Microsystems & Nanoengineering,
Год журнала:
2021,
Номер
7(1)
Опубликована: Март 17, 2021
A
self-powered
system
based
on
energy
harvesting
technology
can
be
a
potential
candidate
for
solving
the
problem
of
supplying
power
to
electronic
devices.
In
this
review,
we
focus
portable
and
wearable
systems,
starting
with
typical
technology,
introduce
systems
sensing
functions.
addition,
demonstrate
in
actuation
functions
development
toward
intelligent
under
support
information
processing
artificial
intelligence
technologies.
Gait
and
waist
motions
always
contain
massive
personnel
information
it
is
feasible
to
extract
these
data
via
wearable
electronics
for
identification
healthcare
based
on
the
Internet
of
Things
(IoT).
There
also
remains
a
demand
develop
cost-effective
human-machine
interface
enhance
immersion
during
long-term
rehabilitation.
Meanwhile,
triboelectric
nanogenerator
(TENG)
revealing
its
merits
in
both
IoT
tends
be
possible
solution.
Herein,
authors
present
TENG-based
devices
gait
analysis
motion
capture
intelligence
performance
lower-limb
Four
sensors
are
equidistantly
sewed
onto
fabric
belt
recognize
motion,
enabling
real-time
robotic
manipulation
virtual
game
immersion-enhanced
training.
The
insole
equipped
with
two
TENG
designed
walking
status
detection
98.4%
accuracy
five
different
humans
aiming
at
rehabilitation
plan
selection
achieved
by
leveraging
machine
learning
technology
further
analyze
signals.
Through
robot,
demonstrate
that
sensory
system
performs
well
user
recognition,
monitoring,
as
robot
gaming-aided
training,
showing
potential
IoT-based
smart
applications.
