Emerging Materials Research,
Journal Year:
2024,
Volume and Issue:
13(3), P. 192 - 211
Published: May 31, 2024
Shape
memory
polymers
(SMPs)
are
smart
materials
that
have
been
widely
accepted
in
potential
applications
ranging
from
biomedical
devices
to
aerospace.
Despite
their
limitations
engineering
applications,
SMPs
utilized
for
strengthening,
innovation
and
improvement
of
driving
methods,
leading
an
increase
research
on
SMP
composites
(SMPCs).
In
this
review,
used
the
production,
actuation
mechanisms,
fabrication
testing
methods
SMPCs
presented.
Current
novel
constitutive
models
a
very
important
place
elucidating
interface
introduced.
Finally,
challenges
opportunities
presented
provide
future
prospects
SMPCs.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Abstract
Leech
locomotion,
characterized
by
alternating
sucker
attachment
and
body
contraction
provides
high
adaptability
stability
on
complex
terrains.
Herein,
a
leech‐inspired
triboelectric
soft
robot
is
proposed
for
the
first
time,
capable
of
amphibious
movement,
climbing,
load‐carrying
crawling.
A
high‐performance
bionic
system
developed
to
drive
control
electro‐responsive
robots.
Its
core
components
include:
i)
(LSR)
made
from
segmented
dielectric
elastomer
muscles.
ii)
The
produces
anisotropic
frictional
forces.
iii)
multi‐channel
high‐voltage
output
nanogenerator
(HDC‐TENG)
effectively
drives
LSR.
iv)
unit
adapted
HDC‐TENG
enables
flexible
LSR
control.
Using
scalable
structure
muscles
achieve
maximum
crawling
speed
0.39
lengths
per
minute
land
(45
mm
min
−1
)
0.22
in
liquid
(30.5
).
It
can
also
carry
payload
11.55
grams
acrylic
while
This
research
sustainable
promising
new
solution
self‐powered
energy
sources
suitable
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(20), P. 11585 - 11636
Published: Oct. 11, 2024
Soft
robotics
presents
innovative
solutions
across
different
scales.
The
flexibility
and
mechanical
characteristics
of
soft
robots
make
them
particularly
appealing
for
wearable
implantable
applications.
scale
level
invasiveness
required
depend
on
the
extent
human
interaction.
This
review
provides
a
comprehensive
overview
robots,
including
applications
in
rehabilitation,
assistance,
organ
simulation,
surgical
tools,
therapy.
We
discuss
challenges
such
as
complexity
fabrication
processes,
integration
responsive
materials,
need
robust
control
strategies,
while
focusing
advances
actuation
sensing
mechanisms,
techniques.
Finally,
we
future
outlook,
highlighting
key
proposing
potential
solutions.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(22), P. 12738 - 12843
Published: Nov. 5, 2024
The
quest
to
imbue
machines
with
intelligence
akin
that
of
humans,
through
the
development
adaptable
neuromorphic
devices
and
creation
artificial
neural
systems,
has
long
stood
as
a
pivotal
goal
in
both
scientific
inquiry
industrial
advancement.
Recent
advancements
flexible
electronics
primarily
rely
on
nanomaterials
polymers
owing
their
inherent
uniformity,
superior
mechanical
electrical
capabilities,
versatile
functionalities.
However,
this
field
is
still
its
nascent
stage,
necessitating
continuous
efforts
materials
innovation
device/system
design.
Therefore,
it
imperative
conduct
an
extensive
comprehensive
analysis
summarize
current
progress.
This
review
highlights
applications
neuromorphics,
involving
inorganic
(zero-/one-/two-dimensional,
heterostructure),
carbon-based
such
carbon
nanotubes
(CNTs)
graphene,
polymers.
Additionally,
comparison
summary
structural
compositions,
design
strategies,
key
performance,
significant
these
are
provided.
Furthermore,
challenges
future
directions
pertaining
materials/devices/systems
associated
neuromorphics
also
addressed.
aim
shed
light
rapidly
growing
attract
experts
from
diverse
disciplines
(e.g.,
electronics,
science,
neurobiology),
foster
further
for
accelerated
development.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 17, 2025
Biological
neural
systems
seamlessly
integrate
perception
and
action,
a
feat
not
efficiently
replicated
in
current
physically
separated
designs
of
neural-imitating
electronics.
This
segregation
hinders
coordination
functionality
within
the
neuromorphic
system.
Here,
we
present
flexible
device
tailored
for
computation
muscle
actuation.
Each
individual
component
emulates
essential
synaptic
functions
computing,
while
collective
ensemble
replicates
actuation
response
to
efferent
neuromuscular
commands.
These
properties
stem
from
densely-packed,
hydrophilic
nanometer-sized
channels,
erection
high-entropy,
intricately
silver
nanowires
capture
store
hydrated
cations.
Leveraging
remarkable
deformation
effect,
demonstrate
hazard
detection-avoidance
robot,
multidimensional
integration
arbitrary
programmed
shapes
like
360°
panoramic
information
soft-bodied
biological
deformations
wherein
localized
responses
stimuli
are
harmoniously
integrated
achieve
coordinated
motion.
results
provide
significant
avenue
development
future
electronics
bio-inspired
systems.
Macromolecular Bioscience,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 11, 2024
Abstract
The
targeted
delivery
of
drugs
using
wireless
navigable
magnetic
robots
allows
the
drug
molecules
to
be
controlled
non
only
in
time
but
also
space,
improving
medical
outcomes.
main
disadvantages
behind
their
use
lies
low
amount
that
can
transported
and
single
nature
loaded
(hydrophilic
or
hydrophobic).
These
considerations
limit
co‐delivery
systems,
now
recognized
very
promising
for
many
different
pathologies.
A
bijel‐like
structure
is
developed
load
release
types
In
this
work,
ε‐caprolactone
explored,
which
polymerize,
forming
hydrophobic
domains
(oil
phase).
After
mixing
with
iron
oxide
nanoparticles
(NPs),
water
dispersion
creates
a
biphasic
porous
without
phase
separation.
resulting
device
shows
good
performance
both
actuation
as
system.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
In
nature,
animals
can
realize
multimodal
movements
such
as
walking,
climbing,
and
jumping
through
transformation
in
locomotor
gaits
or
form
for
survival,
which
is
highly
desired
untethered
flexible
actuators
yet
remains
challenging.
Here,
we
propose
a
robust
self-healing
actuator
enabled
by
noncovalent
assembled
nanostructures
with
elaborate
regulation
of
multistage
responsive
behaviors.
Owing
to
the
dynamic
interfacial
design
between
multiple
components,
stimulus
be
accurately
delivered
"light-heat-force
release"
pathway,
endowing
diverse
motion
capabilities
ability
(27
cm,
34
times
body
length).
Moreover,
reversible
recombination
sliding
properties
network
ensure
high
toughness
(81.9
kJ/mol)
efficiency
(88.2%),
greatly
benefit
long-term
service
under
complex
demanding
scenarios.
This
study
provides
strategy
improve
their
adaptability
stability
environments.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Abstract
Biological
structures
exhibit
autonomous
and
intelligent
behaviors,
such
as
movement,
perception,
responses
to
environmental
changes,
through
dynamic
interactions
with
their
surroundings.
Inspired
by
natural
organisms,
future
soft
robots
are
also
advancing
toward
autonomy,
sustainability,
interactivity.
This
review
summarizes
the
latest
achievements
in
untethered
based
on
1D
2D
nanomaterials.
First,
performance
of
actuators
designed
different
is
compared.
Then,
development
basic
locomotion
forms,
including
crawling,
jumping,
swimming,
rolling,
gripping,
multimodal,
mimicking
biological
motion
mechanisms
under
stimuli,
discussed.
Subsequently,
various
self‐sustained
movements
imbalance
static
stimuli
introduced,
light
tracking,
self‐oscillating,
self‐crawling,
self‐rolling,
flying.
Following
that,
progress
integrated
additional
functionalities
sensing,
energy
harvesting,
storage
summarized.
Finally,
challenges
faced
this
field
prospects
for
Soft Matter,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Natural
microswimmers
exhibit
multimodal
locomotion
strategies
to
achieve
versatile
navigation
tasks
such
as
finding
nutrient
sources,
avoiding
danger
and
migrating
new
habitats.
These
typically
involve
complex
coordination
of
cell
actuators
(i.e.,
flagella)
generate
translation,
rotation
combined
motions.
Yet,
it
is
generally
difficult
establish
a
simple
relationship
between
actuation
due
the
hydrodynamic
coupling
swimmer
surrounding
fluid.
While
many
bioinspired
have
been
engendered,
remains
challenging
for
these
artificial
swimmers
effective
different
functional
similar
their
biological
counterparts.
Here,
we
explore
reinforcement
learning
(RL)
method
enable
microswimmer
select
based
on
tasks.
We
illustrate
this
approach
using
model
derived
from
Chlamydomonas
reinhardtii,
which
consists
body
sphere
two
flagella
spheres.
first
demonstrate
that
RL-powered
can
maximize
displacement
or
minimize
energy
input
by
setting
corresponding
goals.
further
how
RL
multi-directional
via
coordinately
switch
forward
steering
gaits.
Our
opens
avenue
designing
with
capabilities.