In
the
era
of
modern
robotics
and
Industry
4.0,
integrating
advanced
state
estimation
techniques
with
digital
twin
technology
is
crucial
for
enhancing
robotic
system
performance
safety.
This
study
presents
a
pioneering
Digital
Twin
framework
to
monitor
trajectory
Universal
Robots'
UR10
arm.
We
address
challenges
such
as
uncertainties,
sensor
noise,
environmental
factors
by
combining
Kalman
Filter-based
approach.
By
creating
virtual
replica
that
accurately
mimics
UR10's
physical
properties
dynamics,
our
method
enables
realtime
tracking
prediction
robot's
states,
improving
control
operational
efficiency.
The
incorporates
kinematics
dynamics
compute
Jacobian
matrix
EKF
estimation.
Through
extensive
simulations,
we
demonstrate
significant
increase
in
accuracy
position
(approximately
90.14%)
velocity
85.10%)
estimations
after
introducing
noise
robot
simulation.
approach
paves
way
strategies,
fault
detection
systems,
testing
platforms
industries
like
manufacturing,
healthcare,
research,
where
precision
are
critical.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 31461 - 31487
Published: Jan. 1, 2024
Construction
sector
spending
makes
a
significant
contribution
to
the
global
economy,
with
approximately
$10
trillion
being
spent
on
building
and
construction
activities
annually.
However,
industry
has
traditionally
been
perceived
as
slow
adapt
new
technologies
compared
other
sectors.
Recently,
experienced
substantial
shift
towards
Digital
Transformation.
As
have
emerged,
begun
realize
importance
of
Transformation
in
pre-construction,
construction,
facility
management
phases.
A
high
degree
seen
regarding
site
monitoring,
wearables,
sensors,
identifying
hazards.
This
paper
intends
sketch
picture
digital
implemented
throughout
entire
project
lifecycle.
By
fully
analyzing
more
than
200
papers,
finds
that
various
aspects
industry,
including
technologies,
policies,
regulations,
infrastructures,
are
still
early
stages
The
findings
from
this
review
will
help
researchers
practitioners
understand
technology
implementation
where
stands
process.
also
serves
starting
point
for
future
work
industry.
research
is
limited
vertical
projects
does
not
include
horizontal
integration.
Finally,
study
give
guideline
successful
examples
which
used
specific
phases,
so
can
get
holistic
view
use
environment.
Diagnostics,
Journal Year:
2023,
Volume and Issue:
13(8), P. 1485 - 1485
Published: April 20, 2023
Advanced
mathematical
and
deep
learning
(DL)
algorithms
have
recently
played
a
crucial
role
in
diagnosing
medical
parameters
diseases.
One
of
these
areas
that
need
to
be
more
focused
on
is
dentistry.
This
why
creating
digital
twins
dental
issues
the
metaverse
practical
effective
technique
benefit
from
immersive
characteristics
this
technology
adapt
real
world
dentistry
virtual
world.
These
technologies
can
create
facilities
environments
for
patients,
physicians,
researchers
access
variety
services.
Experiencing
an
interaction
between
doctors
patients
another
considerable
advantage
technologies,
which
dramatically
improve
efficiency
healthcare
system.
In
addition,
offering
amenities
through
blockchain
system
enhances
reliability,
safety,
openness,
ability
trace
data
exchange.
It
also
brings
about
cost
savings
improved
efficiencies.
paper,
twin
cervical
vertebral
maturation
(CVM),
critical
factor
wide
range
surgery,
within
blockchain-based
platform
designed
implemented.
A
DL
method
has
been
used
automated
diagnosis
process
upcoming
CVM
images
proposed
platform.
includes
MobileNetV2,
mobile
architecture
improves
performance
models
multiple
tasks
benchmarks.
The
twinning
simple,
fast,
suitable
physicians
specialists,
as
well
adapting
Internet
Medical
Things
(IoMT)
due
its
low
latency
computing
costs.
important
contributions
current
study
use
DL-based
computer
vision
real-time
measurement
so
does
not
require
additional
sensors.
Furthermore,
comprehensive
conceptual
framework
based
MobileNetV2
ecosystem
implemented,
showing
applicability
suitability
introduced
approach.
high
model
collected
small
dataset
demonstrates
low-cost
diagnosis,
anomaly
detection,
better
design,
many
applications
representations.
shows
how
performed
developed
with
lowest
hardware
infrastructures,
reducing
costs
treatment
patients.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(7), P. 3775 - 3775
Published: April 6, 2023
Global
concerns
regarding
environmental
preservation
and
energy
sustainability
have
emerged
due
to
the
various
impacts
of
constantly
increasing
demands
climate
changes.
With
advancements
in
smart
grid,
edge
computing,
Metaverse-based
technologies,
it
has
become
apparent
that
conventional
private
power
networks
are
insufficient
meet
demanding
requirements
industrial
applications.
The
unique
capabilities
5G,
such
as
numerous
connections,
high
reliability,
low
latency,
large
bandwidth,
make
an
excellent
choice
for
grid
services.
5G
network
industry
will
heavily
rely
on
Internet
Things
(IoT)
progress,
which
act
a
catalyst
development
future
grid.
This
comprehensive
platform
not
only
include
communication
infrastructure
but
also
Metaverse
platforms.
Therefore,
optimizing
IoT
is
crucial
achieve
sustainable
computing
network.
paper
presents
design,
fabrication,
evaluation
super-efficient
GSM
triplexer
5G-enabled
Metaverse.
component
intended
operate
at
0.815/1.58/2.65
GHz
physical
layout
our
new,
presented
first
time
this
work.
overall
size
0.007
λg2,
smallest
compared
previous
works.
proposed
very
insertion
losses
0.12
dB,
0.09
0.42
dB
first,
second,
third
channels,
respectively.
We
achieved
minimum
triplexers.
Additionally,
common
port
return
(RLs)
were
better
than
26
all
channels.
Journal of Advanced Research,
Journal Year:
2023,
Volume and Issue:
66, P. 31 - 38
Published: Nov. 24, 2023
The
concept
of
the
metaverse,
a
virtual
world
where
users
can
interact
with
computer-generated
environment,
has
received
significant
attention
recently.
Symmetry,
Journal Year:
2023,
Volume and Issue:
15(4), P. 821 - 821
Published: March 29, 2023
Symmetry
is
essential
in
the
design
of
complex
systems
like
Metaverse
Transportation
Sys-tem
(MTS)
and
helps
ensure
that
all
components
work
together
effectively.
In
development
a
microstrip
diplexer
for
5G-enabled
IoT
MTS,
maintaining
symmetry
crucial
to
achieving
flat
responses
with
low
group
delays.
By
integrating
transportation
technology
Metaverse,
System
can
greatly
improve
effectiveness
intellect
reality.
To
establish
dependable
network,
it
include
Internet
Things
(IoT)
sensor
networks
sustainable
focuses
on
efficiency
energy
conservation.
A
three-channel
lowpass-bandpass
has
been
developed
MTS
implementation.
Multi-channel
designs
are
rare
due
process,
but
this
very
compact
at
only
0.004
λg2.
All
channels
have
delays
0.34
ns,
1.7
ns
lower,
middle,
upper
passbands,
respectively.
The
lowpass
channel
cut-off
frequency
1.22
GHz,
suitable
mid-band
5G
applications.
Compared
previous
work,
achieves
smallest
size,
lowest
delay,
insertion
return
losses
lower
channel.
It
consists
section
connected
band-pass
filter
analyzed
mathematically,
its
performance
verified
through
simulation
measurement
good
accuracy.
Processes,
Journal Year:
2023,
Volume and Issue:
11(6), P. 1703 - 1703
Published: June 2, 2023
The
concept
of
digital
twinning
is
essential
for
smart
manufacturing
and
cyber-physical
systems
to
be
connected
the
Metaverse.
These
representations
physical
objects
can
used
real-time
analysis,
simulations,
predictive
maintenance.
A
combination
manufacturing,
Industry
4.0,
Metaverse
lead
sustainable
productivity
in
industries.
This
paper
presents
a
practical
approach
implementing
twins
magnetic
forging
holder
that
was
designed
manufactured
this
project.
Thus,
makes
two
important
contributions:
first
contribution
holder,
second
significant
creation
its
twin.
benefits
from
special
design
implementation,
making
it
user-friendly
powerful
tool
materials
research.
More
specifically,
employed
thermomechanical
influencing
structure
and,
hence,
final
properties
under
development.
In
addition,
mechanism
allows
us
produce
new
type
creep-resistant
composite
material
based
on
Fe,
Al,
Y.
consolidates
powder
form
solid
state
after
mechanical
alloying.
We
bars
components
using
suitable
process
which
extreme
grain
coarsening
occurs
heat
treatment.
one
conditions
achieving
very
high
resistance
creep
at
temperatures.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(9), P. 2016 - 2016
Published: April 26, 2023
Regarding
the
importance
of
Internet
Things
(IoT)
and
Metaverse
as
two
practical
emerging
technologies
to
enhance
digitalization
public
transportation
systems,
this
article
introduces
an
approach
for
improvement
IoT
unmanned
electric
vehicles
in
Metaverse,
called
Unmanned
Electric
Vehicles
(IoUEVs).
This
research
includes
important
contributions.
The
first
contribution
is
description
a
framework
how
can
be
used
second
creation
digital
twin
vehicle.
In
section,
which
focus
research,
we
present
electronic
differential
system
(EDS)
stability
has
been
improved.
Robust
fuzzy
logic
algorithm-based
speed
controllers
are
employed
EDS
independently
control
EV
wheels
driven
by
high-performance
brushless
DC
(BLDC)
motors.
study,
rotor
position
information
motors,
estimated
from
low-precision
Hall-effect
sensors
mounted
on
motors’
shafts,
combined
converted
set
common
switching
signals
empowering
vehicle
traction
drive
system.
proposed
relies
accurate
Hall
sensor
signals-based
synchronizing/locking
strategy
with
dynamic
steering
pattern
capable
running
severe
road
conditions
different
surface
profiles
ensure
EV’s
stability.
Unlike
recent
EDSs,
twinning
simple
topology
no
need
auxiliary
infrastructures,
able
reduce
mechanical
losses
stresses
adapted
IoUEVs
more
effectively.
Journal of Manufacturing and Materials Processing,
Journal Year:
2024,
Volume and Issue:
8(3), P. 108 - 108
Published: May 23, 2024
In
order
to
avoid
catastrophic
events
that
degrade
the
quality
of
machined
products,
such
as
tool
breakage,
it
is
vital
have
a
prognostic
system
for
monitoring
wear
during
micro-milling
process.
Despite
long
history
field,
creating
track,
monitor,
and
foresee
rapid
progression
still
needs
be
improved
in
application
micro-milling.
On
other
hand,
digital
twin
technology
has
recently
become
widely
recognized
significant
manufacturing
and,
notably,
within
Industry
4.0
ecosystem.
Digital
considered
potential
breakthrough
developing
system,
enables
tracking,
monitoring,
prediction
dynamics
twinned
object,
e.g.,
CNC
machine
tool.
However,
few
works
explored
particularly
field.
This
paper
presents
novel
machining
based
on
an
extended
Kalman
filter
framework.
The
proposed
provides
notifications
assist
user
making
decisions
related
evaluation
using
four
datasets
slot
micro-milling,
achieved
maximum
error
mean
0.038
mm
from
actual
value.
brings
promising
opportunity
widen
utilization
with
framework
seamless
data
integration
service.
Digital twins and applications.,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Abstract
Digital
twin
(DT)
technology
has
been
utilised
in
many
applications
including
electric
vehicles
(EVs).
A
DT
is
a
virtual
representation
of
physical
object,
enabled
through
real‐time
data
integration,
simulation,
and
optimisation
tools.
Unlike
conventional
simulations,
which
are
typically
offline
lack
interaction,
continuously
synchronises
with
the
system,
enabling
dynamic
performance
monitoring
predictive
analytics.
Achieving
full
involves
progressive
stages,
digital
shadow
(DS)
being
final
step
before
realising
bidirectional
DT.
Building
DS
provides
scalable
fault
detection
framework,
proactive
decision‐making
EV
operations.
This
study
introduces
system
specifically
designed
to
monitor
permanent
magnet
synchronous
motor
(PMSM)
drive
EVs,
marking
critical
phase
towards
complete
The
methodology
for
creating
detailed,
establishment
comprehensive
test
bench
powertrain
as
reference
model.
mathematical
model
EV‐PMSM
was
formulated,
an
advanced
estimation
utilising
extended
Kalman
filter
(EKF)
implemented.
MATLAB/Simulink
employed
develop
motor’s
Real‐time
acquisition
from
facilitated
(DAS)
equipped
controller
area
network
(CAN)
communication
interface.
underwent
thorough
validation
against
sensory
collected
bench.
deployed
framework
flow
actual
during
real‐world
driving
conditions.
results
demonstrated
high
accuracy
97%
between
predictions
corresponding
data,
confirming
DS’s
reliability.
These
findings
pave
way
future
advancements,
interaction
realisation