Sensors,
Journal Year:
2024,
Volume and Issue:
24(5), P. 1503 - 1503
Published: Feb. 26, 2024
Children
with
autism
spectrum
disorder
(ASD)
have
deficits
that
affect
their
social
relationships,
communication,
and
flexibility
in
reasoning.
There
are
different
types
of
treatment
(pharmacological,
educational,
psychological,
rehabilitative).
Currently,
one
way
to
address
this
problem
is
by
using
robotic
systems
the
abilities
altered
these
children.
The
aim
review
will
be
analyse
effectiveness
incorporation
currently
existing
children
up
10
years
age
diagnosed
autism.
A
systematic
has
been
carried
out
PubMed,
Scopus,
Web
Science,
Dialnet
databases,
following
descriptors:
child,
autism,
robot.
search
yielded
578
papers,
nine
were
selected
after
application
PRISMA
guideline.
quality
studies
was
analysed
PEDRo
scale,
only
those
a
score
between
four
six
selected.
From
study,
conclusion
use
robots,
general,
improves
children’s
behaviour
short
term,
but
longer-term
experiences
necessary
achieve
more
conclusive
results.
Cognitive Robotics,
Journal Year:
2023,
Volume and Issue:
3, P. 54 - 70
Published: Jan. 1, 2023
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
and
Deep
(DL)
have
revolutionized
the
field
of
advanced
robotics
in
recent
years.
AI,
ML,
DL
are
transforming
robotics,
making
robots
more
intelligent,
efficient,
adaptable
to
complex
tasks
environments.
Some
applications
include
autonomous
navigation,
object
recognition
manipulation,
natural
language
processing,
predictive
maintenance.
These
technologies
also
being
used
development
collaborative
(cobots)
that
can
work
alongside
humans
adapt
changing
environments
tasks.
The
be
transportation
systems
order
provide
safety,
efficiency,
convenience
passengers
companies
.
Also,
playing
a
critical
role
advancement
manufacturing
assembly
robots,
enabling
them
efficiently,
safely,
intelligently.
Furthermore,
they
wide
range
aviation
management,
helping
airlines
improve
reduce
costs,
customer
satisfaction.
Moreover,
help
taxi
better,
safer
services
customers.
research
presents
an
overview
current
developments
discusses
various
robot
modification.
Further
works
regarding
suggested
fill
gaps
between
existing
studies
published
papers.
By
reviewing
systems,
it
is
possible
investigate
modify
performances
enhance
productivity
robotic
industries.
Big Data and Cognitive Computing,
Journal Year:
2023,
Volume and Issue:
7(2), P. 97 - 97
Published: May 12, 2023
The
competent
software
architecture
plays
a
crucial
role
in
the
difficult
task
of
big
data
processing
for
SQL
and
NoSQL
databases.
databases
were
created
to
organize
allow
horizontal
expansion.
databases,
on
other
hand,
support
scalability
can
efficiently
process
large
amounts
unstructured
data.
Organizational
needs
determine
which
paradigm
is
appropriate,
yet
selecting
best
option
not
always
easy.
Differences
database
design
are
what
set
apart.
Each
type
also
consistently
employs
mixed-model
approach.
Therefore,
it
challenging
cloud
users
transfer
their
among
different
storage
services
(CSPs).
There
several
paradigms
being
monitored
by
various
platforms
(IaaS,
PaaS,
SaaS,
DBaaS).
purpose
this
SLR
examine
articles
that
address
portability
interoperability,
as
well
architectures
Numerous
studies
comparing
capabilities
particularly
Oracle
RDBMS
Document
Database
(MongoDB),
terms
scale,
performance,
availability,
consistency,
sharding,
presented
part
state
art.
Research
indicates
with
specifically
tailored
structures,
may
be
analytics,
while
suited
online
transaction
(OLTP)
purposes.
Smart Learning Environments,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 29, 2025
Abstract
In
recent
years,
there
has
been
a
growing
interest
in
using
robots
within
educational
environments
due
to
their
potential
augment
student
engagement
and
motivation.
However,
current
research
not
adequately
addressed
the
effectiveness
of
these
facilitating
inclusive
learning
for
diverse
populations,
particularly
those
with
dyslexia.
This
study
proposes
an
system
developed
on
two
multi-modal
robots,
Kebbi
Minibo,
interactive
(i.e.,
movable
hands)
straightforward
features.
The
integrates
various
elements,
such
as
animations,
songs,
dance,
gestures,
touch,
enhance
students’
engagement,
interaction,
motivation
cater
needs.
aims
examine
influence
different
features
from
unique
levels
students
with/without
dyslexia
needs
when
engaging
robot
learning.
Two
questions
are
posed:
(1)
What
that
could
effectively
improve
engagements
dyslexia?
(2)
learning?
To
this
end,
comparative
is
conducted
where
64
participate
five-day
robot-led
training
program,
while
another
73
receive
traditional
teacher-led
training.
Pre/post
questionnaires
administered
evaluate
levels,
semi-structured
interviews
obtain
additional
insights.
findings
reveal
better
suited
Kebbi.
contrast,
without
may
prefer
more
which
can
still
promote
Multi-modal
boost
through
novelty
cognitive
load
management.
Emotional
connections
empathetic
customizable
features,
outcomes.
