Control Systems and Optimization Letters,
Journal Year:
2024,
Volume and Issue:
2(3), P. 274 - 284
Published: Nov. 25, 2024
Human-robot
cooperation
(HRC)
is
becoming
increasingly
essential
in
many
different
sectors
such
as
industry,
healthcare,
agriculture,
and
education.
This
between
robot
human
has
advantages
increasing
boosting
productivity
efficiency,
executing
the
task
easily,
effectively,
a
fast
time,
minimizing
efforts
time.
Therefore,
ensuring
safety
issues
during
this
are
critical
must
be
considered
to
avoid
or
minimize
any
risk
danger
whether
for
robot,
human,
environment.
Risks
may
accidents
system
failures.
In
paper,
an
overview
of
human-robot
discussed.
The
main
key
challenges
robotics
outlined
presented
collision
detection
avoidance,
adapting
unpredictable
behaviors,
implementing
effective
mitigation
strategies.
difference
industrial
robots
cobots
illustrated.
Their
features
also
provided.
problem
avoidance
environment
defined
discussed
detail.
result
paper
can
guideline
framework
future
researchers
design
development
their
methods
tasks.
addition,
it
shapes
research
directions
measures.
Energies,
Journal Year:
2024,
Volume and Issue:
17(18), P. 4721 - 4721
Published: Sept. 22, 2024
This
article
studies
the
transformation
and
assembly
process
of
Volkswagen
(VW)
Crafter
from
conventional
to
hybrid
vehicle
department
vehicles
engineering,
University
Debrecen,
uses
a
computer-aided
simulation
(CAS)
design
based
on
real
measurement
data
(hardware-in-the-loop,
HIL
method)
obtained
an
online
CAN
bus
platform
using
MATLAB/Simulink/Simscape
LabVIEW
software.
The
powered
by
6-speed
manual
transmission
4-stroke,
2.0
Turbocharged
Direct
Injection
Common
Rail
(TDI
CR)
Diesel
engine
transformed
electrified
powertrain
are
designed
compare
performance.
A
novel
methodology
is
introduced
Netcan
plus
110
devices
for
analysis
vehicle’s
version.
acquired
raw
analyzed
decoded
with
help
database
(DBC)
file
into
physical
values.
classical
proportional
integral
derivative
(PID)
controller
utilized
in
system
manage
consumption
CO2
emissions.
However,
intricate
nonlinearities
other
external
environments
could
make
its
performance
unsatisfactory.
study
develops
energy
management
strategies
(EMSs)
basis
enhanced
derivative-based
genetic
algorithm
(GA-PID),
compares
integral-based
particle
swarm
optimization
(PSO-PI)
fractional
order
(FOPID)
controllers,
regulating
speed,
allocating
optimal
torque
speed
motor
reducing
fuel
time
absolute
error
(ITAE)
proposed
as
fitness
function
optimization.
GA-PID
demonstrates
superior
performance,
achieving
efficiency
90%,
extending
battery
pack
range
128.75
km
185.3281
emissions
74.79
gCO2/km.
It
outperforms
PSO-PI
FOPID
consuming
less
higher
efficiency.
World Electric Vehicle Journal,
Journal Year:
2024,
Volume and Issue:
15(7), P. 320 - 320
Published: July 20, 2024
In
this
paper,
a
novel
and
complete
navigation
system
is
proposed
for
mobile
robots
in
park
environment,
which
can
achieve
safe
stable
as
well
robust
dynamic
obstacle
avoidance.
The
includes
global
planning
layer
local
layer.
planner
plans
series
of
way-points
using
the
A*
algorithm
based
on
an
offline
stored
occupancy
grid
map
sends
them
to
planner.
incorporates
avoidance
mechanism.
contrast
existing
algorithms
trajectory
tracking,
we
innovatively
construct
two-dimensional
Difference
ESDF
(Euclidean
Signed
Distance
Field)
represent
motion
information.
outputs
control
actions
by
scoring
candidate
paths.
A
simulation
experiments
real-world
tests
are
conducted
verify
that
safely
robustly
accomplish
tasks.
safety
distance
experiment
group
with
item
added
increased
1.223
compared
without
item.
Electrotehnica Electronica Automatica,
Journal Year:
2024,
Volume and Issue:
72(3), P. 35 - 43
Published: Sept. 15, 2024
Path
planning
is
an
important
part
of
decision
making,
and
high-quality
results
will
dramatically
improve
work
efficiency.
This
study
delves
into
the
realm
motion
for
intelligent
mobile
robots.
The
research
addresses
challenges
reverse
growth
branches
redundant
nodes
in
sampling
algorithms,
proposing
Forward
Expansion
RRT*
(FE-RRT*)
algorithm
as
a
solution.
By
integrating
strategies
to
enhance
space
exploitation
efficiency
optimize
heuristic,
FE-RRT*
outperforms
RRT*-Connect
Informed
RRT*-Connect.
Experimental
show
algorithms
through
metrics
such
final
path
length
reduction
decreased
iteration
time.
manuscript
contributes
novel
evaluation
planning,
offering
valuable
insights
enhancing
decision-making
processes
robotics.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 25, 2024
Abstract
This
study
addresses
the
location
problem
of
UAV
distribution
centers
for
urban
logistics
services
by
establishing
a
mathematical
model
aimed
at
minimizing
total
cost
operations.
The
incorporates
various
constraints,
including
number
supply
points,
maximum
capacity,
task-specific
limitations,
starting
point
restrictions,
flight
distance
UAVs,
altitude
and
obstacle
avoidance
requirements.
paper
presents
delivery
path
algorithm
designed
to
effectively
navigate
obstacles
in
environments.
Additionally,
genetic
annealing
fusion
is
developed
address
center
model.
Comparative
analysis
reveals
that
incorporating
significantly
enhances
performance
compared
scenarios
without
it,
outperforms
traditional
algorithm.
Finally,
sensitivity
conducted
on
obstacles.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(21), P. 6948 - 6948
Published: Oct. 29, 2024
This
paper
presents
a
rapidly
exploring
random
tree
(RRT)
algorithm
with
an
effective
post
waypoint
shift,
which
is
suitable
for
the
path
planning
of
wheeled
mobile
robot
under
kinematic
constraints.
In
growth
tree,
nearest
node
that
satisfies
constraints
selected
as
parent
node.
Once
distance
between
new
and
target
within
certain
threshold,
stops
connection
based
on
minimum
turning
radius
arc
proposed
to
generate
initial
complete
path.
The
most
significant
difference
from
traditional
RRT-based
methods
method
optimizes
Dubins
curves
through
shift
after
generated,
rather
than
selection
rewiring
during
growth.
Then,
it
proved
can
obtain
optimal
in
terms
shortest
length.
optimized
has
good
convergence
almost
does
not
depend
state
comparative
test
results
show
advantages
over
sampling
point
number,
number.
Subsequently,
efficient
further
avoid
unknown
obstacles,
utilizes
original
information
thus
effectively
improves
efficiency.
Simulations
real-world
tests
are
carried
out
demonstrate
effectiveness
this
method.
Journal of Machine Engineering,
Journal Year:
2024,
Volume and Issue:
24(4), P. 1 - 12
Published: Nov. 22, 2024
Abstract:
Trajectory
path
generation
is
critical
for
the
Autonomous
Mobile
Robot
(AMR)
when
moving
frequently
in
working
environment
shop
floor
to
transport
loads
from
one
work
station
another
continuously.
Traditionally,
AMR
moves
point
stop
at
next
or
turn
which
inefficient
and
consumes
much
energy.
This
paper
proposes
new
concept
of
trajectory
planning
with
curvature
driven
by
maximizing
speed
control
differential
drive
each
curve
move
smoothly.
B-splined
commonly
applied
CAD
CAM
machining
effectively
tool
trajectory.
Therefore,
studied
validated
simulation
together
energy
consumption.
The
on
Matlab
Simulink
numerical
model.
It
investigated
that
efficient
animating
AMR’s
actual
system.
velocity
can
obtain
both
linear
angular
movements
forward
backward
directions
as
well
acceleration.
be
selected
based
degree
closeness
used
generate
With
the
acceleration
of
urbanization
and
advancements
in
construction
technology,
utilization
underground
spaces
has
become
increasingly
important.
However,
complexity
invisibility
environments
pose
significant
challenges
for
monitoring
management.
To
address
these
issues,
this
paper
proposes
a
design
scheme
an
autonomous
obstacle-avoiding
environment
device
based
on
STM32
series
microcontroller.
This
integrates
various
high-precision
sensors
advanced
data
processing
technologies,
enabling
real-time
environmental
parameters.
The
can
be
transmitted
wirelessly
to
online
terminal
further
analysis.
Additionally,
features
mobility
intelligent
obstacle
avoidance,
enhancing
safety
efficiency
construction.
not
only
achieves
technical
innovation
but
also
provides
new
solutions
support
sustainable
development
spaces.
Control Systems and Optimization Letters,
Journal Year:
2024,
Volume and Issue:
2(3), P. 274 - 284
Published: Nov. 25, 2024
Human-robot
cooperation
(HRC)
is
becoming
increasingly
essential
in
many
different
sectors
such
as
industry,
healthcare,
agriculture,
and
education.
This
between
robot
human
has
advantages
increasing
boosting
productivity
efficiency,
executing
the
task
easily,
effectively,
a
fast
time,
minimizing
efforts
time.
Therefore,
ensuring
safety
issues
during
this
are
critical
must
be
considered
to
avoid
or
minimize
any
risk
danger
whether
for
robot,
human,
environment.
Risks
may
accidents
system
failures.
In
paper,
an
overview
of
human-robot
discussed.
The
main
key
challenges
robotics
outlined
presented
collision
detection
avoidance,
adapting
unpredictable
behaviors,
implementing
effective
mitigation
strategies.
difference
industrial
robots
cobots
illustrated.
Their
features
also
provided.
problem
avoidance
environment
defined
discussed
detail.
result
paper
can
guideline
framework
future
researchers
design
development
their
methods
tasks.
addition,
it
shapes
research
directions
measures.
