Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 9, 2024
Abstract
Herein,
the
development
and
characterization
of
three
distinct
artificial
mechanoreceptor
sensors
meticulously
engineered
is
reported
to
emulate
human
skin.
By
mimicking
morphology,
structure,
response
characteristics
(including
preferential
sensitivity,
adaptation
profile,
frequency
response)
biological
mechanoreceptors,
Meissner,
Merkel,
Ruffini
capable
detecting
pressure,
shear,
tensile
deformations
with
high
fidelity
are
successfully
fabricated.
In
situ
experiments,
designed
mimic
physiological
conditions,
demonstrate
that
integrated
sensor
array,
fingertips,
can
accurately
discriminate
seven
Braille
characters,
five
surface
textures,
a
grating
ridges,
four‐step
delivery
stages
an
object.
Furthermore,
woolen
glove
incorporating
15
multimodal
developed,
which
exhibits
enhanced
classification
capabilities
for
eight
objects
varying
sizes
roughness.
Notably,
trimodal
integration
demonstrates
superior
recognition
speed
precision
compared
uni‐
or
bimodal
configurations,
while
also
improving
tactile
identification
intuition.
This
biomimetic
system
comprehensive
synergistic
diverse
stimuli
objects,
potentially
overcoming
technological
limitations
in
applications
requiring
human‐like
perception,
such
as
advanced
prosthetics,
robotics,
immersive
augmented
virtual
reality
interfaces.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Abstract
Traditional
hydrogels
tend
to
freeze
and
lose
performance
at
low
temperatures,
limiting
their
applications.
Additionally,
need
exhibit
hysteresis,
excellent
cycling
stability,
self‐adhesion
ensure
high‐quality
signal
acquisition
in
complex
environments.
To
address
this
challenge,
study
designed
a
dual‐network
gel
glycerol
(Gly)/H
2
O
solvent
system.
Due
the
combination
of
chemical
physical
crosslinking
(hydrogen
bonding
electrostatic
interactions),
resulting
exhibits
skin‐adaptive
modulus,
high
anti‐freezing
ability,
body
temperature‐induced
adhesion,
electrical
performance,
making
it
suitable
for
wearable
sensors
temperatures.
Based
on
gel,
single‐electrode
triboelectric
nanogenerator
(gel‐TENG)
is
developed,
achieving
efficient
conversion
mechanical
energy
into
energy.
Further
applied
smart
insole,
successfully
enabled
real‐time
visualization
plantar
pressure
distribution
skiing
motion
recognition.
Using
random
forest
machine
learning
algorithm,
system
accurately
classified
11
basic
motions,
classification
accuracy
97.1%.
This
advances
flexible
self‐powered
systems,
supporting
intelligent
materials
research
extreme
Chemical Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 31, 2025
Sensorimotor
functions,
the
seamless
integration
of
sensing,
decision-making,
and
actuation,
are
fundamental
for
robots
to
interact
with
their
environments.
Inspired
by
biological
systems,
incorporation
soft
materials
devices
into
robotics
holds
significant
promise
enhancing
these
functions.
However,
current
systems
often
lack
autonomy
intelligence
observed
in
nature
due
limited
sensorimotor
integration,
particularly
flexible
sensing
actuation.
As
field
progresses
toward
soft,
flexible,
stretchable
materials,
developing
such
becomes
increasingly
critical
advanced
robotics.
Despite
rapid
advancements
individually
devices,
combined
applications
enable
capabilities
emerging.
This
review
addresses
this
emerging
providing
a
comprehensive
overview
that
functions
robots.
We
delve
latest
development
technologies,
actuation
mechanism,
structural
designs,
fabrication
techniques.
Additionally,
we
explore
strategies
control,
artificial
(AI),
practical
application
across
various
domains
as
healthcare,
augmented
virtual
reality,
exploration.
By
drawing
parallels
aims
guide
future
research
robots,
ultimately
adaptability
unstructured
Tactile
electronic
skins
(e-skins)
are
flexible
devices
that
aim
to
replicate
tactile
sensing
capabilities
of
the
human
skin,
while
possessing
skin-like
geometric
features
and
materials
properties.
Since
skin
is
composed
complex
3D
constructions,
where
various
types
mechanoreceptors
distributed
in
a
spatial
layout,
an
important
trend
e-skin
development
involves
introduction
device
architectures
can
certain
structural
skins.
The
resulting
architected
e-skins
have
demonstrated
advantages
detection
shear
forces
decoupled
perception
multiple
mechanical
stimuli,
which
pivotal
importance
many
application
scenarios.
In
this
perspective,
we
summarize
main
biological
prototypes
existing
e-skins,
focus
on
key
related
capabilities.
Then
highlight
enhanced
terms
super-resolution
predictions
diverse
physical
properties
surface
object,
allow
for
broad
spectrum
practical
applications,
such
as
object
recognition,
human-machine
interactions,
dexterous
manipulation,
health
monitoring.
Finally,
discuss
scientific
challenges
opportunities
future
developments
e-skins.
Abstract
Hydrogels
emerge
as
highly
promising
candidates
for
wearable
electronics
due
to
their
moldability
and
biocompatibility.
However,
hydrogel‐based
often
suffer
from
poor
mechanical
properties
limited
adhesion,
pose
significant
challenges
practical
application.
Herein,
a
conductive,
stretchable,
self‐adhesive
gelatin/slide
ring
hydrogel
(SRH)
with
double‐network
(DN)
structure
is
developed
by
incorporating
polyrotaxane
(PR)
based
cross‐linker
in
the
gelatin
(GEL)
network.
The
water‐soluble
allylic
PR
(APR)
cross‐linkers
are
prepared
cyclodextrin‐based
via
simple
one‐step
method.
Additionally,
effect
of
APR
different
sliding
capabilities
on
SRH
further
investigated
aiming
optimize
performance.
optimized
achieves
balance
between
toughness
(2226
kJ
m
−3
)
rigidity
(154
kPa),
along
high
stretchability
(3048%)
strong
adhesion
various
substrate
materials.
More
importantly,
this
DN
demonstrated
human
motion
sensor
capable
Morse
code
communication.
This
work
not
only
advances
understanding
slidable
applications
but
also
paves
way
innovative
hydrogels
tailored
high‐performance
electronics,
broadening
scope
functionality
real‐world
use.
Frontiers in Robotics and AI,
Год журнала:
2024,
Номер
11
Опубликована: Май 28, 2024
Soft
grippers
are
garnering
increasing
attention
for
their
adeptness
in
conforming
to
diverse
objects,
particularly
delicate
items,
without
warranting
precise
force
control.
This
attribute
proves
especially
beneficial
unstructured
environments
and
dynamic
tasks
such
as
food
handling.
Human
hands,
owing
elevated
dexterity
motor
control,
exhibit
the
ability
delicately
manipulate
complex
small
or
fragile
by
dynamically
adjusting
grasping
configurations.
Furthermore,
with
rich
sensory
receptors
hand-eye
coordination
that
provide
valuable
information
involving
texture
form
factor,
real-time
adjustments
avoid
damage
spill
during
handling
appear
seamless.
Despite
numerous
endeavors
replicate
these
capabilities
through
robotic
solutions
soft
grippers,
matching
human
performance
remains
a
formidable
engineering
challenge.
Robotic
competitions
serve
an
invaluable
platform
pushing
boundaries
of
manipulation
capabilities,
simultaneously
offering
insights
into
adoption
across
domains,
including
Serving
proxy
future
transition
from
laboratory
market,
simulate
real-world
challenges.
Since
2021,
our
research
group
has
actively
participated
RoboSoft
competitions,
securing
victories
Manipulation
track
2022
2023.
Our
success
was
propelled
utilization
modified
iteration
Retractable
Nails
Gripper
(RNSG),
tailored
meet
specific
requirements
each
task.
The
integration
sensors
collaborative
manipulators
further
enhanced
gripper’s
performance,
facilitating
seamless
execution
associated
article
encapsulates
experiential
gained
application
highly
versatile
gripper
competition
environments.
Advanced Intelligent Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 11, 2024
The
area
of
soft
robotics
has
been
subject
to
intense
research
efforts
in
the
past
two
decades
and
constitutes
a
paradigm
for
advanced
machine
design
future
robotic
applications.
However,
standard
methods
industrial
may
be
difficult
apply
when
analyzing
robots.
Deep
learning,
which
undergone
rapid
transformative
advancements
recent
years,
offers
set
powerful
tools
designing
complex
machines
capable
operating
unstructured
environments
interacting
with
humans
objects
delicate
manner.
This
review
summarizes
most
important
state‐of‐the‐art
deep
learning
architectures
classified
under
supervised,
unsupervised,
semisupervised,
reinforcement
scenarios
discusses
their
main
features
benefits
different
applications,
including
robot
manipulators,
grippers,
sensors,
e‐skins,
as
well
bioinspired
Specific
properties
usefulness
addressing
various
types
issues
found
are
analyzed.
existing
challenges
prospects
identified
discussed
view
enhanced
integration
both
areas,
improves
performance
next‐generation
real‐world
conditions.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 1, 2024
Abstract
The
past
few
years
have
witnessed
the
rapid
exploration
of
natural
and
synthetic
materials
to
construct
electronic
skins
(e‐skins)
emulate
multisensory
functions
human
driven
by
promising
applications.
Among
various
employed
in
functional
e‐skins,
biopolymers
are
particularly
notable
for
their
exceptional
biocompatibility
abundant
resources.
Despite
remarkable
progress
engineering
biopolymeric
materials,
a
timely
holistic
review
focusing
on
design,
synthesis,
modification
tailored
biopolymers‐derived
e‐skins
(Bp‐E‐Skins)
is
lacking.
In
this
review,
key
attributes
introduced
establish
fundamental
understanding
fordeveloping
Bp‐E‐Skins.
Next,
recent
harnessing
as
building
blocks
constructing
Bp‐E‐Skins
systematically
discussed,
providing
insights
into
maximizing
distinctive
biopolymers.
Subsequently,
benefits
nature‐inspired
achieved
through
heterogeneous
composite
structural
highlighted,
infusing
fresh
momentum
advancement
e‐skins.
Then,
applications
summarized,
including
both
local
monitoring
remote
teleoperation,
well
sustainable
energy
harvesting
that
empowers
Finally,
remaining
technical
challenges
advancing
presented
provoke
future
designs
even
go
beyond
skins.
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 9, 2024
Abstract
Herein,
the
development
and
characterization
of
three
distinct
artificial
mechanoreceptor
sensors
meticulously
engineered
is
reported
to
emulate
human
skin.
By
mimicking
morphology,
structure,
response
characteristics
(including
preferential
sensitivity,
adaptation
profile,
frequency
response)
biological
mechanoreceptors,
Meissner,
Merkel,
Ruffini
capable
detecting
pressure,
shear,
tensile
deformations
with
high
fidelity
are
successfully
fabricated.
In
situ
experiments,
designed
mimic
physiological
conditions,
demonstrate
that
integrated
sensor
array,
fingertips,
can
accurately
discriminate
seven
Braille
characters,
five
surface
textures,
a
grating
ridges,
four‐step
delivery
stages
an
object.
Furthermore,
woolen
glove
incorporating
15
multimodal
developed,
which
exhibits
enhanced
classification
capabilities
for
eight
objects
varying
sizes
roughness.
Notably,
trimodal
integration
demonstrates
superior
recognition
speed
precision
compared
uni‐
or
bimodal
configurations,
while
also
improving
tactile
identification
intuition.
This
biomimetic
system
comprehensive
synergistic
diverse
stimuli
objects,
potentially
overcoming
technological
limitations
in
applications
requiring
human‐like
perception,
such
as
advanced
prosthetics,
robotics,
immersive
augmented
virtual
reality
interfaces.
