Design and Position Control of a Bionic Joint Actuated by Shape Memory Alloy Wires
Biomimetics,
Год журнала:
2024,
Номер
9(4), С. 210 - 210
Опубликована: Март 30, 2024
Bionic
joints
are
crucial
for
robotic
motion
and
a
hot
topic
in
robotics
research.
Among
various
actuators
joints,
shape
memory
alloys
(SMAs)
have
attracted
significant
interest
due
to
their
similarity
natural
muscles.
SMA
exhibits
the
effect
(SME)
based
on
martensite-to-austenite
transformation
its
inverse,
which
allows
force
displacement
output
through
low-voltage
heating.
However,
one
of
main
challenges
with
is
limited
axial
stroke.
In
this
article,
bionic
joint
wires
differential
pulley
set
structure
was
proposed.
The
stroke
converted
into
rotational
by
amplification
set,
enabling
rotate
sufficient
angle.
We
modeled
designed
proportional–integral
(PI)
controller.
demonstrated
that
exhibited
good
position
control
performance,
achieving
rotation
angle
range
−30°
30°.
proposed
joint,
utilizing
offers
an
innovative
solution
enhancing
actuated
joints.
Язык: Английский
An improved sand cat swarm optimization with lens opposition-based learning and sparrow search algorithm
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Сен. 5, 2024
Язык: Английский
Multi-Modal Enhancement Transformer Network for Skeleton-Based Human Interaction Recognition
Biomimetics,
Год журнала:
2024,
Номер
9(3), С. 123 - 123
Опубликована: Фев. 20, 2024
Skeleton-based
human
interaction
recognition
is
a
challenging
task
in
the
field
of
vision
and
image
processing.
Graph
Convolutional
Networks
(GCNs)
achieved
remarkable
performance
by
modeling
skeleton
as
topology.
However,
existing
GCN-based
methods
have
two
problems:
(1)
Existing
frameworks
cannot
effectively
take
advantage
complementary
features
different
skeletal
modalities.
There
no
information
transfer
channel
between
various
specific
(2)
Limited
structure
topology,
it
hard
to
capture
learn
about
two-person
interactions.
To
solve
these
problems,
inspired
visual
neural
network,
we
propose
multi-modal
enhancement
transformer
(ME-Former)
network
for
skeleton-based
recognition.
ME-Former
includes
module
(ME)
context
progressive
fusion
block
(CPF).
More
specifically,
each
ME
consists
multi-head
cross-modal
attention
(MH-CA)
hypergraph
self-attention
(TH-SA),
which
are
responsible
enhancing
modality
from
other
modalities
spatial
dependencies
joints
using
modality,
respectively.
In
addition,
topology
representation.
The
TH-SA
can
embed
their
structural
into
better
interaction.
CPF
capable
progressively
transforming
low-level
higher-order
global
contexts,
making
process
more
efficient.
Extensive
experiments
on
benchmark
NTU-RGB+D
60
120
datasets
consistently
verify
effectiveness
our
proposed
outperforming
state-of-the-art
methods.
Язык: Английский
A Four-Quadrant Load Matching Method to Balance Power and Performance for Hydraulic Valve-Controlled Servo Actuators
Опубликована: Янв. 1, 2024
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DOI
Язык: Английский
Influence of aging and surface treatments on the fatigue response of L-PBF manufactured steel parts
Advanced Technologies & Materials,
Год журнала:
2024,
Номер
49(2), С. 37 - 41
Опубликована: Сен. 16, 2024
The
processes
of
metal
additive
manufacturing
(AM)
offer
advantages
over
traditional
technologies,
especially
when
it
comes
to
producing
parts
with
complex
designs.
Thanks
the
flexibility
in
and
relatively
high
speed
part
production,
AM
technologies
can
now
be
found
across
various
industries.
A
better
understanding
mechanical
properties
fatigue
behavior
is
crucial
for
their
successful
integration
different
sectors.
Numerous
factors
play
a
key
role
influencing
produced
through
AM.
This
study
investigates
impact
heat
treatment
surface
on
components
made
from
marginal
steel
(MS1)
stainless
(PH1).
After
subjecting
MS1
PH1
treatment,
expected
that
limits
will
increase
compared
original
state.
Additionally,
experimental
findings
show
not
only
do
treatments
significantly
affect
strength
used
alone,
but
also
changing
order
subsequent
either
enhance
or
diminish
strength.
Язык: Английский