International Journal of Extreme Manufacturing,
Journal Year:
2024,
Volume and Issue:
6(5), P. 052007 - 052007
Published: June 25, 2024
Abstract
Triboelectric
nanogenerators
(TENG),
renowned
for
their
remarkable
capability
to
harness
weak
mechanical
energy
from
the
environment,
have
gained
considerable
attention
owing
cost-effectiveness,
high
output,
and
adaptability.
This
review
provides
a
unique
perspective
by
conducting
comprehensive
in-depth
analysis
of
magnetically
assisted
TENGs
that
encompass
structures,
materials,
self-powered
sensing
systems.
We
systematically
summarize
diverse
functions
magnetic
assistance
TENGs,
including
system
stiffness,
components
hybrid
electromagnetic-triboelectric
generator,
transmission,
interaction
forces.
In
material
domain,
we
incorporation
nano-composites
along
with
ferrofluid-based
TENG
microstructure
verification,
which
also
been
summarized
based
on
existing
research.
Furthermore,
delve
into
research
progress
physical
quantity
human-machine
interface
in
magnetic-assisted
TENGs.
Our
highlights
extends
beyond
repulsive
suction
forces
under
field,
thereby
playing
multifaceted
roles
improving
output
performance
environmental
adaptability
Finally,
present
prevailing
challenges
offer
insights
future
trajectory
development.
Nano Energy,
Journal Year:
2023,
Volume and Issue:
115, P. 108729 - 108729
Published: July 20, 2023
Triboelectric
nanogenerators
(TENGs),
offering
self-powered
actuation,
grasping,
and
sensing
capabilities
without
the
need
for
an
external
power
source,
have
potential
to
revolutionize
field
of
robotic
systems.
TENGs
can
directly
convert
mechanical
energy
into
electrical
that
be
used
small
electronics.
This
review
explores
huge
TENGs'
mechanisms
modes
various
robotics
actuation
applications.
Firstly,
improvements
in
efficiency
reliability
TENG-based
systems
by
are
discussed.
Following
that,
grippers
having
controlled
gripping
a
distinctive
ability
self-calibrate
precise
sharp
object
handling
enlightened.
Additionally,
design
development
pressure
sensors
incorporated
further
Self-powered
multimode-sensing
devices,
which
sense
many
stimuli
such
as
temperature,
applied
force
its
direction,
humidity,
briefly
Integrating
with
human-machine-interaction
(HMI)
technologies
enables
more
sophisticated
intelligent
contact
environment,
is
also
highlighted.
Finally,
we
addressed
challenges
future
this
emerging
field.
In
conclusion,
open
up
wide
range
opportunities
gripping,
exceptional
precision
while
being
compatible
both
soft
rigid
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 9, 2024
Abstract
Large-area
metamorphic
stretchable
sensor
networks
are
desirable
in
haptic
sensing
and
next-generation
electronics.
Triboelectric
nanogenerator-based
self-powered
tactile
sensors
single-electrode
mode
constitute
one
of
the
best
solutions
with
ideal
attributes.
However,
their
large-area
multiplexing
utilizations
restricted
by
severe
misrecognition
between
nodes
high-density
internal
circuits.
Here,
we
provide
an
electrical
signal
shielding
strategy
delivering
a
untethered
triboelectric
electronic
skin
(UTE-skin)
ultralow
rate
(0.20%).
An
omnidirectionally
carbon
black-Ecoflex
composite-based
layer
is
developed
to
effectively
attenuate
electrostatic
interference
from
wirings,
guaranteeing
low-level
noise
matrices.
UTE-skin
operates
reliably
under
100%
uniaxial,
biaxial,
400%
isotropic
strains,
achieving
high-quality
pressure
imaging
multi-touch
real-time
visualization.
Smart
gloves
for
recognition,
intelligent
insoles
gait
analysis,
deformable
human-machine
interfaces
demonstrated.
This
work
signifies
substantial
breakthrough
sensing,
offering
previously
challenging
issue
arrays.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(14), P. 9980 - 9996
Published: Feb. 22, 2024
Human
hands
are
amazingly
skilled
at
recognizing
and
handling
objects
of
different
sizes
shapes.
To
date,
soft
robots
rarely
demonstrate
autonomy
equivalent
to
that
humans
for
fine
perception
dexterous
operation.
Here,
an
intelligent
robotic
system
with
autonomous
operation
multimodal
ability
is
developed
by
integrating
capacitive
sensors
triboelectric
sensor.
With
distributed
multiple
sensors,
our
robot
can
not
only
sense
memorize
information
but
also
enable
adaptive
grasping
method
positioning
grasp
control,
during
which
the
sensory
be
captured
sensitively
fused
feature
level
crossmodally
objects,
leading
a
highly
enhanced
recognition
capability.
The
proposed
system,
combining
performance
physical
intelligence
biological
systems
(i.e.,
self-adaptive
behavior
perception),
will
greatly
advance
integration
actuators
robotics
in
many
fields.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Abstract
Flexible
electromechanical
sensors
frequently
suffer
from
unexpected
impact
loadings
caused
by
slipping,
collisions
and
falling
objects,
to
name
a
few.
Without
sufficient
protection,
these
undesired
impacts
would
lead
critical
mechanical
instability
even
damage
flexible
sensors,
resulting
in
restricted
measurement
range
imprecise
sensing.
Thus,
it
is
of
significance,
but
still
fresh
challenge
enhance
the
stability
energy‐absorption
capacity
under
impacts.
Here,
multi‐design
strategy
proposed
construct
an
interpenetrating‐phase
cellulose‐acetate
composite
(IPC
2
)
architecture
for
impact‐intensive
sensing
applications.
The
external
structure
mimics
bellows‐morphology
beverage‐straws
that
deform
programmed
loading
direction
stability,
while
internal
conductive
core
has
co‐continuous
can
efficiently
absorb
energy.
Systematic
numerical
analysis
experimental
tests
demonstrate
IPC
presents
excellent
structural
cyclic
performance
unique
combination
exceptional
specific
energy
absorption
(SEA
=
2.66±1.2
kJ
kg
−1
),
low
density
(
ρ
720±10
m
−3
properties
(GF≈39.6).
Remarkably,
recovery
behaviors
terms
shape
electrical
signals
show
good
repeatability
reliability.
This
study
offers
new
framework
exploit
potentialities
with
protective
functions
commercial
values.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 9, 2025
Abstract
The
synergistic
integration
of
elastic
porous
material
with
self‐powered
sensing
capabilities
holds
immense
promise
for
smart
wearable
devices.
However,
the
intrinsic
contradiction
between
elasticity
and
strength
has
hindered
mechanical
performance
materials.
This
research
reports
a
diffusion‐driven
layer‐by‐layer
assembly
strategy
to
enhance
As
prerequisite,
anisotropic
layered
structure
natural
materials
is
leveraged
endow
fundamental
elasticity.
Subsequently,
vacuum
chemically‐assisted
enhanced
solvent
diffusion
are
sequentially
employed
assemble
conductive
layers
on
cellulose
from
inside
out.
endows
triboelectric
(TM)
exceptional
properties
(elastic
strain
range
0–80%,
compressive
reaching
4.55
MPa).
Utilizing
TM
as
material,
sensor
response
time
48
ms
sensitivity
0.57
kPa
−1
constructed.
Moreover,
application
in
helmet
demonstrated,
enabling
remote
monitoring
traceability
head
impact
events.
overcome
incompatibility
high
offers
promising
avenues
their
utilization
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 10, 2025
Abstract
The
human
voice
stands
out
for
its
rich
information
transmission
capabilities.
However,
communication
is
susceptible
to
interference
from
noisy
environments
and
obstacles.
Here,
we
propose
a
wearable
wireless
flexible
skin-attached
acoustic
sensor
(SAAS)
capable
of
capturing
the
vibrations
vocal
organs
skin
movements,
thereby
enabling
recognition
human-machine
interaction
(HMI)
in
harsh
environments.
This
system
utilizes
piezoelectric
micromachined
ultrasonic
transducers
(PMUT),
which
feature
high
sensitivity
(-198
dB),
wide
bandwidth
(10
Hz-20
kHz),
excellent
flatness
(±0.5
dB).
Flexible
packaging
enhances
comfort
adaptability
during
wear,
while
integration
with
Residual
Network
(ResNet)
architecture
significantly
improves
classification
laryngeal
speech
features,
achieving
an
accuracy
exceeding
96%.
Furthermore,
also
demonstrated
SAAS’s
data
collection
intelligent
capabilities
multiple
HMI
scenarios.
Finally,
was
able
recognize
everyday
sentences
spoken
by
participants
99.8%
through
deep
learning
model.
With
advantages
including
simple
fabrication
process,
stable
performance,
easy
integration,
low
cost,
SAAS
presents
compelling
solution
applications
control,
HMI,
electronics.
