IntechOpen eBooks,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 29, 2024
Utilizing
wheeled
mobile
robot
systems
may
be
essential
to
solving
some
of
agriculture’s
upcoming
problems.
The
present
state
necessitates
the
development
an
adequate
controller
algorithm
due
their
instability,
which
calls
for
a
control
mechanism
enhance
stability.
As
such,
much
study
is
needed
address
this
issue.
Currently,
proportional,
integral,
derivative
(PID)
controllers
are
widely
employed
purpose;
however,
because
parameter
variations
or
disturbances,
PID
approach
often
not
acceptable.
Some
problems
with
can
solved
alternative
strategies,
such
as
linear-quadratic
regulator
(LQR)
control.
For
work,
four-wheel
skid-steering
robot’s
kinematic
model
was
created
in
order
evaluate
performance
LQR
Three
scenarios—only
non-zero
expensive;
expensive,
cheap;
and
cheap,
expensive—were
analyzed
using
capabilities
robot.
Based
on
these
circumstances,
peak
time,
settling
rising
time
cheap
were
determined
0.1,
7.82,
4.39
s,
respectively.
IoT,
Journal Year:
2024,
Volume and Issue:
5(1), P. 58 - 78
Published: Jan. 31, 2024
In
an
agricultural
system,
finding
suitable
watering,
pesticides,
and
soil
content
to
provide
the
right
nutrients
for
plant
remains
challenging.
Plants
cannot
speak
ask
food
they
require.
These
problems
can
be
addressed
by
applying
intelligent
(fuzzy
logic)
controllers
IoT
devices
in
order
enhance
communication
between
crops,
ground
mobile
robots,
aerial
entire
farm
system.
The
application
of
fuzzy
logic
agriculture
is
a
promising
technology
that
used
optimize
crop
yields
reduce
water
usage.
It
was
developed
based
on
language
air
properties
fields.
system
simulated
MATLAB/SIMULINK
environment
with
Cisco
Packet
Tracer
integration.
inputs
were
moisture
sensors,
temperature
humidity
outputs
pump
flow,
valve
opening,
level,
sounding.
obtained
results
output
sounding,
flow
rate,
outflow,
ADH
values,
which
are
10.00000013
rad/s,
34.72%,
4.494%,
0.025
m3/s,
73.31
cm3,
750
respectively.
outflow
rate
increase
indicates
being
released
from
tanks,
control
signal
fluctuates,
indicating
opening.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(8), P. 3458 - 3458
Published: April 19, 2024
Unmanned
aerial
vehicles
have
a
wide
range
of
uses
in
the
military
field,
non-combat
situations,
and
civil
works.
Due
to
their
ease
operation,
unmanned
(UAVs)
are
highly
sought
after
by
farmers
considered
best
agricultural
technologies,
since
different
types
controller
algorithms
being
integrated
into
drone
systems,
making
drones
most
affordable
option
for
smart
agriculture
sectors.
PID
controllers
among
frequently
incorporated
systems.
Although
used
drones,
they
some
limitations,
such
as
sensitivity
noise
measurement
errors,
which
can
lead
instability
or
oscillations
system.
On
other
hand,
provide
improved
accuracy
system
responses.
When
using
achieve
performance
system,
it
is
better
share
advantages
with
intelligence
controllers.
One
promising
fuzzy
controller.
The
aim
this
study
was
control
quadcopter
states
(rolling,
altitude,
airspeed)
leveraging
technology
adding
hybrid
controls
its
were
mathematically
modeled
Simulink/MATLAB
platform,
controlled
For
validation
purposes,
compared
classically
tuned
roll,
height,
airspeed,
provided
an
improvement
41.5%,
11%,
44%,
respectively,
over
Therefore,
suits
needs
compatible
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8504 - 8504
Published: Sept. 29, 2024
In
recent
years,
the
rapid
advancement
of
digital
technologies
has
driven
a
profound
transformation
in
both
individual
lives
and
business
operations.
The
integration
Industry
4.0
with
advanced
mechatronic
systems
is
at
forefront
this
transformation,
reshaping
landscape
smart
manufacturing.
This
article
explores
convergence
physical
systems,
focus
on
critical
role
mechatronics
enabling
transformation.
Using
such
as
robotics,
Internet
Things
(IoT),
artificial
intelligence
(AI),
big
data
analytics,
industries
are
developing
intelligent
interconnected
capable
real-time
exchange,
distributed
decision
making,
automation.
paper
further
two
case
studies:
one
plastic
injection
moulding
machine
another
soft
robots.
These
examples
illustrate
synergies,
benefits,
challenges,
future
potential
integrating
technologies.
Ultimately,
fosters
development
factories
products,
enhancing
manufacturing
efficiency,
adaptability,
productivity,
while
also
contributing
to
sustainability
by
reducing
waste,
optimising
resource
usage,
lowering
environmental
impact
industrial
production.
marks
significant
shift
production
towards
more
sustainable
practices.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 2450 - 2450
Published: Feb. 25, 2025
The
primary
challenge
is
to
design
feedback
controls
that
enable
robots
autonomously
reach
predetermined
destinations
while
avoiding
collisions
with
obstacles
and
other
robots.
Various
control
algorithms,
such
as
the
barrier
function-based
quadratic
programming
(CBF-QP)
controller,
address
collision
avoidance
problems.
Control
functions
(CBFs)
ensure
forward
invariance,
which
critical
for
guaranteeing
safety
in
robotic
within
agricultural
fields.
goal
of
this
study
enhance
mitigation
potential
smart
agriculture
systems.
entire
system
was
simulated
MATLAB/Simulink
environment,
results
demonstrated
a
93%
improvement
steady-state
error
over
rapidly
exploring
random
tree
(RRT).
These
findings
indicate
proposed
controller
highly
effective
Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 243 - 272
Published: June 28, 2024
This
chapter
explores
the
transformative
impact
of
internet
things
(IoT),
artificial
intelligence
(A.I.),
and
robotics
in
modern
agriculture.
By
addressing
challenges
such
as
climate
change,
water
scarcity,
labor
shortages,
these
technologies
have
revolutionized
farming
practices,
enabling
precise
monitoring
crops,
data-driven
decision-making,
increased
operational
efficiency.
The
integration
advanced
A.I.
algorithms
robotic
systems
has
led
to
optimized
resource
utilization,
reduced
environmental
impact,
enhanced
sustainable
practices.
However,
cost,
data
security,
adoption
barriers
must
be
addressed
fully
realize
potential
technologies.
also
highlights
future
trends
areas
for
research
development,
emphasizing
further
innovation
practices
agriculture
sector.
In
an
agricultural
system,
finding
suitable
watering,
pesticide,
and
soil
content
to
provide
the
right
nutrients
for
plant
is
a
mystery
so
far.
Plants
cannot
speak
ask
which
food
they
require.
These
problems
can
be
addressed
by
applying
intelligent
(fuzzy
logic)
controllers
IoT
devices
in
order
enhance
communication
between
crops,
ground
mobile
robots,
aerial
entire
farm
system.
The
application
of
fuzzy
logic
agriculture
promising
technology
that
used
optimize
crop
yields
reduce
water
usage.
It
was
developed
based
on
language
air
properties
fields
were
formulated.
system
simulated
MATLAB/SIMULINK
environment
with
Cisco
Packet
Tracer
integration.
inputs
moisture
sensors,
temperature
humidity
outputs
pump
flow,
valve
opening,
level,
sounding.
obtained
results
output
opening
valve,
sound,
flow
rate,
outflows,
ADH
values,
are
10.00000013
rad/sec,
34.72%,
4.494%,
0.025
m^3/sec,
73.31
cm^3,
750
values
respectively.
outflow
rate
increase
indicates
released
from
tanks,
control
signal
fluctuates,
indicating
opening.
Wheeled
mobile
robot
dynamics
and
suitable
controller
design
are
challenging
but
rewarding
fields
of
study.
By
understanding
the
wheeled
robots,
it
could
be
possible
to
hybrid
control
schemes
for
robots.
Since
involve
combining
individual
methods
create
a
more
effective
overall
strategy.
This
can
done
in
variety
ways,
such
as
using
fuzzy
linear
quadratic
Gaussian
control.
We
were
therefore
inspired
dynamic
models
their
designs
by
examining
robot.
The
novelty
current
paper
is
hybridize
different
robots
order
get
better
performance.
Entire
systems
simulated
MATLAB/SIMULINK
environment.
results
obtained
settling
time
response
FLQG
87.1%
over
LQG;
this
study
compared
effectiveness
previous
controllers
external
disturbances
found
peak
amplitude
improvements
71.25%.
Therefore,
proposed
use
with
