Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 22, 2024
Swarm
Robotics
(SR)
is
an
interdisciplinary
field
that
rapidly
advancing
to
address
complex
industrial
challenges.
This
paper
provides
a
comprehensive
review
of
recent
advancements
and
emerging
trends
in
SR,
with
specific
focus
on
the
coordination
control
Flying
Robots
(SFRs).
The
motivation
behind
this
explore
scalable
robust
solutions
for
SFRs
enhance
their
performance
adaptability
across
various
applications.
Key
objectives
include
examining
characteristics
essential
behaviors
analyzing
challenges
so
lutions
implementing
SR
(FRs),
highlighting
current
future
research
directions.
delves
into
critical
areas
such
as
multiple
robot
path
planning,
Intelligence
(SI),
combinatorial
optimization,
formation
flying
using
SFR.
Special
attention
given
techniques,
including
GPS-denied
environments,
underscore
significance
SR.
also
addresses
ethical,
privacy,
security
considerations,
emphasizing
importance
responsible
practices
development.
Major
takeaways
from
identification
key
technical
potential
SFR,
exploration
SI
algorithms,
directions
necessary
fully
realizing
technologies.
By
offering
detailed
insights
state-of-the-art
its
implications,
serves
foundational
guide
studies
dynamic
promising
domain
swarm
robotics.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2024,
Номер
17, С. 5920 - 5945
Опубликована: Янв. 1, 2024
Agriculture
can
be
regarded
as
the
backbone
of
human
civilization.
As
technology
evolved,
synergy
between
agriculture
and
remote
sensing
has
brought
about
a
paradigm
shift,
thereby
entirely
revolutionizing
traditional
agricultural
practices.
Nevertheless,
adoption
technologies
in
face
various
challenges
terms
limited
spatial
temporal
coverage,
high
cloud
cover,
low
data
quality
so
on.
Industry
5.0
marks
new
era
industrial
revolution,
where
humans
machines
collaborate
closely,
leveraging
their
distinct
capabilities,
enhancing
decision
making
sustainability
resilience.
This
paper
provides
comprehensive
survey
on
related
aspects
dealing
with
practices
(I5.0)
era.
We
also
elaborately
discuss
applications
pertaining
to
I5.0-
enabled
for
agriculture.
Finally,
we
several
issues
integration
I5.0
sensing.
offers
valuable
insights
into
current
state,
challenges,
potential
advancements
principles
agriculture,
thus
paving
way
future
research,
development,
implementation
strategies
this
domain.
Sensors,
Год журнала:
2024,
Номер
24(3), С. 798 - 798
Опубликована: Янв. 25, 2024
Smart
forestry,
an
innovative
approach
leveraging
artificial
intelligence
(AI),
aims
to
enhance
forest
management
while
minimizing
the
environmental
impact.
The
efficacy
of
AI
in
this
domain
is
contingent
upon
availability
extensive,
high-quality
data,
underscoring
pivotal
role
sensor-based
data
acquisition
digital
transformation
forestry.
However,
complexity
and
challenging
conditions
environments
often
impede
collection
efforts.
Achieving
full
potential
smart
forestry
necessitates
a
comprehensive
integration
sensor
technologies
throughout
process
chain,
ensuring
production
standardized,
essential
for
applications.
This
paper
highlights
symbiotic
relationship
between
human
expertise
particularly
under
conditions.
We
emphasize
human-in-the-loop
approach,
which
allows
experts
directly
influence
generation,
enhancing
adaptability
effectiveness
diverse
scenarios.
A
critical
aspect
deployment
autonomous
robotic
systems
forests,
functioning
both
as
collectors
processing
hubs.
These
are
instrumental
facilitating
generating
substantial
volumes
quality
data.
present
our
universal
platform,
detailing
experiences
importance
initial
phase
transformation—the
generation
comprehensive,
selection
appropriate
sensors
key
factor
process,
findings
underscore
its
significance
advancing
Advances in information security, privacy, and ethics book series,
Год журнала:
2024,
Номер
unknown, С. 405 - 451
Опубликована: Янв. 26, 2024
The
rapid
proliferation
of
drones
across
various
industries
necessitates
a
comprehensive
examination
the
privacy
and
ethical
implications
in
their
cybersecurity
landscape.
This
chapter
aims
to
dissect
address
these
concerns,
providing
valuable
resource
for
scholars,
policymakers,
industry
practitioners.
objectives
are
clearly
outlined,
emphasizing
exploration
challenges
considerations
within
context
drone
cybersecurity.
begins
by
delving
into
associated
with
operations,
focusing
on
surveillance
concerns
responsible
collection
storage
sensitive
data.
Ethical
then
scrutinized,
highlighting
dual-use
nature
intricacies
autonomous
decision-making.
A
critical
evaluation
existing
regulatory
landscape
governing
operations
frameworks
is
presented,
shedding
light
effectiveness
limitations.
Sensors,
Год журнала:
2024,
Номер
24(10), С. 3064 - 3064
Опубликована: Май 11, 2024
The
evolving
technologies
regarding
Unmanned
Aerial
Vehicles
(UAVs)
have
led
to
their
extended
applicability
in
diverse
domains,
including
surveillance,
commerce,
military,
and
smart
electric
grid
monitoring.
Modern
UAV
avionics
enable
precise
aircraft
operations
through
autonomous
navigation,
obstacle
identification,
collision
prevention.
structures
of
are
generally
complex,
thorough
hierarchies
intricate
connections
exist
between.
For
a
comprehensive
understanding
design,
this
paper
aims
assess
critically
review
the
purpose-classified
electronics
hardware
inside
UAVs,
each
with
corresponding
performance
metrics
thoroughly
analyzed.
This
includes
an
exploration
different
algorithms
used
for
data
processing,
flight
control,
protection,
communication.
Consequently,
enriches
knowledge
base
offering
informative
background
on
various
design
processes,
particularly
those
related
applications.
As
future
work
recommendation,
actual
relevant
project
is
openly
discussed.
Remote Sensing,
Год журнала:
2024,
Номер
16(6), С. 1003 - 1003
Опубликована: Март 12, 2024
Yield
calculation
is
an
important
link
in
modern
precision
agriculture
that
effective
means
to
improve
breeding
efficiency
and
adjust
planting
marketing
plans.
With
the
continuous
progress
of
artificial
intelligence
sensing
technology,
yield-calculation
schemes
based
on
image-processing
technology
have
many
advantages
such
as
high
accuracy,
low
cost,
non-destructive
calculation,
they
been
favored
by
a
large
number
researchers.
This
article
reviews
research
crop-yield
remote
images
visible
light
images,
describes
technical
characteristics
applicable
objects
different
schemes,
focuses
detailed
explanations
data
acquisition,
independent
variable
screening,
algorithm
selection,
optimization.
Common
issues
are
also
discussed
summarized.
Finally,
solutions
proposed
for
main
problems
arisen
so
far,
future
directions
predicted,
with
aim
achieving
more
wider
popularization
image
technology.
