Posture Detection of Dual-Hemisphere Capsule Robot Based on Magnetic Tracking Effects and ORB-AEKF Algorithm
Micromachines,
Journal Year:
2025,
Volume and Issue:
16(4), P. 485 - 485
Published: April 20, 2025
Posture
detection
is
essential
for
capsule
robots
to
be
manipulated
in
a
relatively
closed
gastrointestinal
(GI)
tract
and
fulfill
some
medical
operations.
In
this
paper,
posture
technique
magnetic-actuated
dual-hemisphere
robot
(DHCR)
proposed.
method,
the
DHCR
realizes
fixed-point
adjustment
based
on
tracking
effects,
feature
points
are
recognized
matched
with
help
of
ORB
algorithm
GI
image
acquired
by
vision
sensor.
The
system
model
derived
from
dynamic
point
information.
Then,
optimized
using
adaptive
extended
Kalman
filter
(AEKF)
algorithm.
As
result,
method
effects
ORB-AEKF
formed.
effectiveness
superiority
proposed
verified
through
experiments,
which
provide
good
foundation
subsequent,
accurate
closed-loop
control
DHCR.
Language: Английский
Capsule robots for the monitoring, diagnosis, and treatment of intestinal diseases
Xiangyu Wei,
No information about this author
Peipei Xi,
No information about this author
Minjie Chen
No information about this author
et al.
Materials Today Bio,
Journal Year:
2024,
Volume and Issue:
29, P. 101294 - 101294
Published: Oct. 9, 2024
Current
evidence
suggests
that
the
intestine
as
new
frontier
for
human
health
directly
impacts
both
our
physical
and
mental
health.
Therefore,
it
is
highly
desirable
to
develop
intelligent
tool
enhanced
diagnosis
treatment
of
intestinal
diseases.
During
past
20
years,
capsule
robots
have
opened
avenues
research
clinical
applications,
potentially
revolutionizing
monitor,
disease
treatment.
In
this
review,
we
summarize
progress
edible
multifunctional
in
To
begin,
introduce
correlation
between
microbiome,
gas
After
that,
focus
on
technical
structure
robots.
Subsequently,
biomedical
applications
monitoring,
diseases
are
discussed
detail.
Last
but
not
least,
main
challenges
during
development
process
summarized,
followed
by
a
vision
future
opportunities.
Language: Английский