Journal of Robotics,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
This
research
conducts
an
extensive
bibliometric
analysis
of
the
literature
on
formation
control
multiple
robots.
The
main
objective
is
to
offer
a
comprehensive
present
condition
and
future
potential
this
area.
To
accomplish
this,
employs
methodology
examine
current
trends
forecast
developments.
gathered
total
1656
journal
articles
from
Web
Science
(WoS)
database.
utilizes
bibliographic
coupling
keyword
co‐occurrence
analyses
identify
influential
publications,
delineate
knowledge
structure,
trends.
yielded
four
separate
clusters,
while
revealed
clusters.
Although
importance
in
robots
growing,
more
scholarly
effort
necessary
fully
understand
academic
panorama.
article
provides
significant
insights
into
rapidly
expanding
field
Furthermore,
it
offers
thorough
examination
diverse
emphasizes
its
for
ongoing
advancement.
Fires
pose
significant
threats
to
human
safety,
health,
and
property.
Traditional
methods,
with
their
inefficient
use
of
features,
struggle
meet
the
demands
fire
detection.
You
Only
Look
Once
(YOLO),
as
an
efficient
deep
learning
object
detection
framework,
can
rapidly
locate
identify
smoke
objects
in
visual
images.
However,
research
utilizing
latest
YOLO11
for
remains
sparse,
addressing
scale
variability
well
practicality
models
continues
be
a
focus.
This
study
first
compares
classic
YOLO
series
analyze
its
advantages
tasks.
Then,
tackle
challenges
model
practicality,
we
propose
Multi-Scale
Convolutional
Attention
(MSCA)
mechanism,
integrating
it
into
create
YOLO11s-MSCA.
Experimental
results
show
that
outperforms
other
by
balancing
accuracy,
speed,
practicality.
The
YOLO11s-MSCA
performs
exceptionally
on
D-Fire
dataset,
improving
overall
accuracy
2.6%
recognition
2.8%.
demonstrates
stronger
ability
small
objects.
Although
remain
handling
occluded
targets
complex
backgrounds,
exhibits
strong
robustness
generalization
capabilities,
maintaining
performance
complicated
environments.
Journal of Robotics,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
This
research
conducts
an
extensive
bibliometric
analysis
of
the
literature
on
formation
control
multiple
robots.
The
main
objective
is
to
offer
a
comprehensive
present
condition
and
future
potential
this
area.
To
accomplish
this,
employs
methodology
examine
current
trends
forecast
developments.
gathered
total
1656
journal
articles
from
Web
Science
(WoS)
database.
utilizes
bibliographic
coupling
keyword
co‐occurrence
analyses
identify
influential
publications,
delineate
knowledge
structure,
trends.
yielded
four
separate
clusters,
while
revealed
clusters.
Although
importance
in
robots
growing,
more
scholarly
effort
necessary
fully
understand
academic
panorama.
article
provides
significant
insights
into
rapidly
expanding
field
Furthermore,
it
offers
thorough
examination
diverse
emphasizes
its
for
ongoing
advancement.
