Journal of Cloud Computing Advances Systems and Applications,
Год журнала:
2025,
Номер
14(1)
Опубликована: Янв. 11, 2025
To
facilitate
flexible
manufacturing,
modern
industries
have
incorporated
numerous
modular
operations
such
as
multi-robot
services
which
can
be
expediently
arranged
or
offloaded
to
other
production
resources.
However,
complex
manufacturing
projects
often
consist
of
multiple
tasks
with
fixed
sequences,
posing
a
significant
challenge
for
smart
factories
in
efficiently
scheduling
limited
robot
resources
complete
specific
tasks.
Additionally,
when
span
across
factories,
ensuring
faithful
execution
contracts
becomes
another
challenge.
In
this
paper,
we
propose
modified
combinatorial
auction
method
combined
blockchain
and
edge
computing
technologies
organize
project
scheduling.
Firstly,
transform
efficient
resource
into
resource-constrained
multi-project
problem
(RCPSP).
Subsequently,
the
solution
integrates
random
sampling
(CA-RS)
contracts.
Alongside
security
analysis,
simulations
are
conducted
using
real
data
sets.
The
results
indicate
that
suggested
CA-RS
approach
significantly
enhances
efficiency
arrangement
within
industrial
Internet
Things
compared
baseline
algorithms.
Sensors,
Год журнала:
2025,
Номер
25(3), С. 765 - 765
Опубликована: Янв. 27, 2025
This
article
focuses
on
the
integration
of
Internet
Things
(IoT)
and
Robotic
Things,
representing
a
dynamic
research
area
with
significant
potential
for
industrial
applications.
The
(IoRT)
integrates
IoT
technologies
into
robotic
systems,
enhancing
their
efficiency
autonomy.
provides
an
overview
used
in
IoRT,
including
hardware
components,
communication
technologies,
cloud
services.
It
also
explores
IoRT
applications
industries
such
as
healthcare,
agriculture,
more.
discusses
challenges
future
directions,
data
security,
energy
efficiency,
ethical
issues.
goal
is
to
raise
awareness
importance
demonstrate
how
this
technology
can
bring
benefits
across
various
sectors.
Internet of Things,
Год журнала:
2024,
Номер
28, С. 101357 - 101357
Опубликована: Сен. 3, 2024
The
Internet
of
Robotic
Things
(IoRT)
integrates
robots
and
autonomous
devices,
transforming
industries
such
as
manufacturing,
healthcare,
transportation.
However,
security
vulnerabilities
in
IoRT
systems
pose
significant
challenges
to
data
privacy
system
integrity.
To
address
these
issues,
encryption
is
essential
for
protecting
sensitive
transmitted
between
devices.
By
converting
into
ciphertext,
ensures
confidentiality
integrity,
reducing
the
risk
unauthorized
access
breaches.
Blockchain
technology
also
enhances
by
offering
decentralized,
tamper-proof
storage
solutions.
comprehensive
insights,
practical
recommendations,
future
directions,
this
paper
aims
contribute
advancement
knowledge
practice
securing
interconnected
robotic
systems,
thereby
ensuring
integrity
exchanged
within
ecosystems.
Through
a
thorough
examination
requisites,
scopes,
current
implementations
IoRT,
provides
valuable
insights
researchers,
engineers,
policymakers
involved
efforts.
integrating
blockchain
technologies
stakeholders
can
foster
secure
dependable
environment,
effectively
manage
risks,
bolster
user
confidence,
expedite
widespread
adoption
across
diverse
sectors.
findings
study
underscore
critical
role
enhancement
highlight
potential
avenues
further
exploration
innovation.
Furthermore,
suggests
research
areas,
threat
intelligence
analytics,
design,
multi-factor
authentication,
AI
detection.
These
recommendations
support
ongoing
innovation
evolving
landscape.
Spectrum of Mechanical Engineering and Operational Research.,
Год журнала:
2024,
Номер
1(1), С. 159 - 176
Опубликована: Июль 31, 2024
Robotics
has
emerged
as
a
disruptive
force
in
the
maritime
sector,
offering
promising
solutions
for
various
applications,
including
underwater
exploration,
offshore
operations,
port
logistics,
and
vessel
maintenance.
The
paper
begins
by
presenting
an
overview
of
current
state
robotics
industry,
highlighting
key
advancements
impact
they
have
had
on
traditional
practices.
It
then
delves
into
innovative
applications
robotics,
such
autonomous
vehicles
(AUVs)
oceanographic
research
inspection
robots
structures,
discussing
their
capabilities
potential
benefits.
However,
integration
technology
also
brings
forth
unique
set
challenges.
These
challenges
encompass
technical,
regulatory,
ethical
aspects,
issues
related
to
safety,
cyber
security,
legal
frameworks,
public
acceptance.
critically
examines
these
discusses
strategies
overcome
them,
emphasizing
importance
collaboration
between
industry
stakeholders,
policymakers,
researchers.
emerging
trends,
swarm
human-robot
collaboration,
utilization
artificial
intelligence
decision-making.
benefits
advancements,
increased
efficiency,
reduced
costs,
enhanced
are
highlighted.
Business Strategy & Development,
Год журнала:
2024,
Номер
7(2)
Опубликована: Апрель 22, 2024
Abstract
In
today's
highly
competitive
global
market,
companies
aim
to
improve
their
market
position
ensure
competitiveness
and
survival.
The
adoption
of
Industry
4.0
technologies
constitutes
a
good
approach
enhancing
processes
productivity
while
maintaining
high‐quality
standards.
This
is
where
Quality
becomes
crucial,
as
it
focuses
on
boosting
the
quality
organisational
through
integration
disruptive
from
4.0.
Furthermore,
are
prioritising
implementing
environmentally
friendly
practices
in
that
support
sustainable
development.
Therefore,
imperative
evaluate
how
application
can
ease
production
improvements
with
minimal
environmental
impact
also
aligning
development
goals.
article
analyses
these
initiatives
be
used
within
food
industry,
specifically
those
dedicated
sale
product,
evaluating
microenterprise
artisanal
ice
cream.
A
comprehensive
framework
proposed
for
its
potential
Using
PDCA
cycle,
original
situation
evaluated
later
recommend
strategies
tools
create
enterprise.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 136318 - 136349
Опубликована: Янв. 1, 2023
Developing
aerial
robots
that
can
both
safely
navigate
and
execute
assigned
mission
without
any
human
intervention
–
i.e.,
fully
autonomous
mobility
of
passengers
goods
is
the
larger
vision
guides
research,
design,
development
efforts
in
autonomy
space.
However,
it
highly
challenging
to
concurrently
operationalize
all
types
vehicles
are
operating
autonomously
sharing
airspace.
Full
transportation
sector
includes
several
aspects,
such
as
design
technology
powers
vehicles,
operations
multi-agent
fleets,
process
certification
meets
stringent
safety
requirements
aviation
sector.
Thereby,
Autonomous
Advanced
Aerial
Mobility
still
a
vague
term
its
consequences
for
researchers
professionals
ambiguous.
To
address
this
gap,
we
present
comprehensive
perspective
on
emerging
field
advanced
mobility,
which
involves
use
unmanned
(UAVs)
electric
vertical
takeoff
landing
(eVTOL)
aircraft
various
applications,
urban
air
package
delivery,
surveillance.
The
article
proposes
scalable
extensible
framework
consisting
four
main
blocks:
sensing,
perception,
planning,
controls.
Furthermore,
discusses
challenges
opportunities
fleet
management,
well
testing,
validation,
aspects
systems.
Finally,
explores
potential
monolithic
models
analyzes
their
advantages
limitations.
aims
provide
holistic
picture
future
directions.
Journal of ISMAC,
Год журнала:
2025,
Номер
6(4), С. 343 - 363
Опубликована: Янв. 1, 2025
The
smart
Internet
of
Robotic
Things
(IoRT)
networks
integrate
swarm
robotics,
Time-Sensitive
Networking
(TSN),
Light
Detection
and
Ranging
(LiDAR)
mapping,
microcontrollers,
thermal
imaging,
producing
adaptive
efficient
ecosystems.
proposed
study
addresses
a
real-life
problem
across
most
industries,
offering
an
autonomous,
scalable,
optimized
resource
solution.
It
integrates
robotics
for
task
coordination,
TSN
low-latency
communication,
LiDAR
environmental
microcontrollers
energy
efficiency
along
with
imaging
capabilities
anomaly
detection.
Combining
all
these
components
comprehensive
AI
architecture
was
developed
to
improve
the
performance
in
complex
scenarios
IoRT.
research
aims
develop
scalable
IoRT
solutions
that
incorporate
deterministic
accurate
energy-efficient
sustainability,
detection
mission-critical
tasks
while
being
adaptable,
reliable,
efficient.
system
attains
93%
accuracy,
91%
scalability,
94%
F1
score,
95%
efficiency,
detection,
which
is
beyond
traditional
methods.
challenges
enhanced
real-time
adaptability,
scalability
ensure
optimal
applications
like
healthcare
disaster
response.
integrated
framework
employs
cutting-edge
technologies
thus
tackles
dynamic
precision
accuracy.
Since
it
outperforms
methods
different
metrics,
establishes
sustainable
various
applications.
adaptability
towards
resources
gets
improved
more
Systems,
Год журнала:
2025,
Номер
13(2), С. 106 - 106
Опубликована: Фев. 10, 2025
Integrating
lean
principles
into
robotics
systems
emerges
as
a
transformative
path
for
production
processes.
This
paper
addresses
the
question
of
what
are
best
practices
integrating
within
to
enhance
processes
in
manufacturing
through
comprehensive
literature
review,
direct
engagement
with
engineers,
and
generating
Voice
Use
Table
Performance
analysis
(VOT)
Key
Indicators
(KPIs)
illuminate
advantages
realized
from
draw
attention
current
gap
how
can
become
maximize
their
value
The
focuses
on
key
findings
possible
influence
development
lean,
well
precision
accuracy
improved
systems.
International Journal of Low-Carbon Technologies,
Год журнала:
2025,
Номер
20, С. 341 - 352
Опубликована: Янв. 1, 2025
Abstract
To
improve
the
performance
of
new
energy-powered
robots,
a
method
for
optimizing
robots
has
been
proposed,
based
on
low-carbon
power
demand
forecasting
model.
The
approach
advocated
leveraging
to
optimize
system
design
and
control
strategies.
Then,
model
robotic
demands
was
established,
alongside
refinement
evaluation
mechanism.
Results
indicated
significant
correlation
between
operational
parameters
linked
performance.
precision
our
notably
high,
enabling
provision
specific
optimization
strategies
tailored
diverse
contexts.
