Heat-Responsive PLA/PU/MXene Shape Memory Polymer Blend Nanocomposite: Mechanical, Thermal, and Shape Memory Properties
Polymers,
Journal Year:
2025,
Volume and Issue:
17(3), P. 338 - 338
Published: Jan. 26, 2025
This
study
investigates
the
fabrication
and
characterization
of
heat-responsive
PLA/PU/MXene
shape
memory
polymer
blend
nanocomposites
with
varying
PLA
content
(10,
20,
30,
50%)
a
fixed
MXene
0.5
wt.%.
The
results
indicate
significant
improvements
in
mechanical
properties,
50%
showing
300%
increase
ultimate
tensile
strength
90%
decrease
%
elongation
compared
to
pure
PU.
Additionally,
exhibited
400%
flexural
strength.
Microstructural
analysis
revealed
dispersed
pores
sea–island
morphology
PU
blend.
Thermal
using
DSC
showed
an
crystallinity
from
33%
(pure
PU)
45%
for
blend,
indicating
enhanced
crystalline
domains
due
semi-crystalline
nature
MXene’s
influence
on
molecular
ordering.
TGA
demonstrated
improvement
thermal
stability,
onset
temperature
rising
185
°C
212
degradation
increasing
370
425
attributed
rigid
structure
stabilizing
effect.
Shape
testing
that
30%
achieved
best
fixity
recovery
optimal
performance,
whereas
higher
diminished
behavior.
Language: Английский
Toward Autonomous Self‐Healing in Soft Robotics: A Review and Perspective for Future Research
Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 17, 2025
Recent
advances
in
dynamic
and
reversible
polymer
networks
have
led
to
self‐healing
soft
robots
that
can
restore
their
physical
electrical
properties
after
damage.
However,
most
cases,
human
intervention
remains
essential
for
the
healing
process.
This
poses
a
challenge,
especially
working
environments
with
limited
access
or
where
involvement
cand
hinder
efficiency.
To
address
this
gap,
article,
first,
different
phases
of
process
robotics
are
discussed
then
technologies
be
integrated
into
allow
each
individual
phase
performed
autonomously
minimal
reviewed.
Finally,
challenges
integrating
all
perspectives
on
achieving
fully
autonomous
future
offered.
These
classified
five:
damage
detection,
cleaning,
closure,
stimulus‐triggered
material
healing,
recovery
assessment.
Achieving
these
attributes
requires
employing
intelligence
at
level
through
use
stimuli‐responsive
materials
utilizing
embodied
system
by
healing‐assistive
subsystems
synergistic
combination
both.
Consequently,
achieve
self‐sufficiency
capabilities,
rendering
them
sustainable
solution
broader
applications.
Language: Английский
Hollow fiber-based strain sensors with desirable modulus and sensitivity at effective deformation for dexterous electroelastomer cylindrical actuator
Microsystems & Nanoengineering,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Feb. 27, 2025
Abstract
The
electroelastomer
cylindrical
actuators,
a
typical
representation
of
soft
have
recently
aroused
increasing
interest
owing
to
their
advantages
in
flexibility,
deformability,
and
spatial
utilization
rate.
Proprioception
is
crucial
for
controlling
monitoring
the
shape
position
these
actuators.
However,
most
existing
flexible
sensors
modulus
mismatch
with
actuation
unit,
hindering
free
movement
Herein,
low-modulus
strain
sensor
based
on
laser-induced
cellular
graphitic
flakes
(CGF)
onto
surface
hollow
TPU
fibers
(HTF)
present.
Through
electrostatic
self-assembly
technology,
features
unique
hybrid
sensing
unit
including
HTF
as
substrate
rigid
CGF
conductive
path.
As
result,
simultaneously
possesses
desirable
(~0.155
MPa),
gauge
factor
220.3
(25%
<
ε
50%),
fast
response/recovery
behaviors
(31/62
ms),
low
detection
limit
(0.1%
strain).
Integrating
actuators
enables
precise
measurement
deformation
modes,
directions,
quantity.
proof-of-concept
demonstrations,
prototype
robot
high-precision
perception
successfully
designed,
achieving
real-time
its
deformations
during
crawling
process.
Thus,
proposed
scheme
sheds
new
light
development
intelligent
robots.
Language: Английский
Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots
Jiangtao Su,
No information about this author
Ke He,
No information about this author
Yanzhen Li
No information about this author
et al.
Chemical Reviews,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 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
Language: Английский
Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions
Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 3, 2025
Space
exploration
demands
innovative
robotic
solutions
to
address
complex
challenges.
This
article
provides
a
forward‐looking
perspective
on
the
emerging
field
of
compliant
robotics
for
space
applications,
categorizing
these
systems
into
reconfigurable,
hyper‐redundant,
origami‐inspired,
and
soft
robots,
each
offering
unique
advantages
facing
distinct
The
review
explores
in‐depth
critical
roles
robots
can
assume,
ranging
from
on‐orbit
servicing
planetary
beyond.
It
also
addresses
material
selection,
accounting
harsh
conditions
space,
examines
complexities
in
design,
actuation,
sensing,
control.
concludes
with
future‐focused
discussion
trends,
challenges,
research
directions.
aims
offer
comprehensive
understanding
current
state
art,
positioning
as
transformative
force
next
frontier
exploration.
Language: Английский
A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception
Advanced Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 9, 2024
Abstract
Humans
recognize
and
manipulate
objects
relying
on
the
multidimensional
force
features
captured
by
tactile
sense
of
skin
during
manipulation.
Since
current
sensors
integrated
in
robots
cannot
support
to
multiple
interaction
states
between
manipulator
objects,
achieving
human‐like
perception
analytical
capabilities
remains
a
major
challenge
for
service
robots.
Prompted
involved
performing
complex
tasks,
multimodal
sensory
system
is
presented
provide
situ
simultaneous
sensing
when
approaching,
touching,
manipulating
objects.
The
comprises
capacitive
sensor
owning
high
sensitivity
1.11E‐2
pF
mm
−1
,
triboelectricity
nanogenerator
with
fast
response
speed
30
ms,
pressure
array
capable
3D
detection.
By
Combining
transfer
learning
models,
which
fuses
information
achieve
high‐precision
(up
95%)
recognition
multi‐featured
targets
such
as
random
hardness
texture
under
sampling
conditions,
including
grasp
velocity.
This
expected
enhance
intelligent
behavior‐planning
autonomous
tasks
undefined
surrounding
environments.
Language: Английский
Visual Piezoresistive Dual‐Response Sensor Based on CaZnOS: Mn Mechanoluminescence Materials
Junwen Yu,
No information about this author
Yun Liu,
No information about this author
Q. Niu
No information about this author
et al.
Advanced Materials Technologies,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 12, 2024
Abstract
The
ability
to
achieve
real‐time
movement
visualization
in
piezoresistive
sensors
remains
a
challenge.
A
visual
sensor
perceive
the
intensity
of
mechanical
stimuli
and
visible
spatial
location
information
is
designed
based
on
mechanoluminescence
material
CaZnOS:
Mn.
linearity,
detection
range,
sensitivity,
stability
are
tested,
sensing
mechanism
discussed,
relationship
between
force,
resistance,
light
established.
5
×
array
prepared
realize
dynamic
force
trajectory,
combined
with
convolutional
neural
network
random
forest
algorithm,
human
writing
number
pressure
characteristics
recognized,
path
handwriting
robot
arm
controlled
by
multi‐feature
input.
experimental
results
show
that
machine
learning
algorithm
very
reliable
an
accuracy
98.33%
for
digit
recognition
97.21%
identity
recognition.
provides
new
idea
flexible
promotes
development
towards
integration
intelligence.
Language: Английский