To
make
social
robots
effective
in
education,
they
need
to
be
autonomous
both
terms
of
assessing
the
student's
engagement
state
as
well
intervening
effectively
soft
real-time
when
necessary.
Hidden
Markov
Model
(HMM)
is
an
interpretable
machine
learning
technique
for
modeling
temporal
data
that
commonly
used
post-hoc
analyse
latent
processes.
In
this
paper,
we
contribute
by
proposing
HMM-based
intervention
methodology
and
classifying
student
either
productive
or
unproductive
real-time.
The
system
identifies
tracks
states
patterns
not
conducive
learning,
a
robot
triggered
whenever
too-high
non-productive
detected.
pilot
study
with
22
children,
evaluate
1)
effectiveness
interventions
on
students'
gains
behaviors
found
2)
perception
robotic
interventions.
Results
suggest
have
positive
effect
post-test
scores
relative
baseline
robot,
although
there
isn't
significant
difference
gains.
Moreover,
try
induce
reflective
are
most
inducing
required
behavior,
followed
communication-inducing
Lastly,
usefulness
does
reflect
their
actual
effectiveness.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(03), С. 67 - 82
Опубликована: Фев. 15, 2023
Over
the
last
years,
social
robots
have
been
conceived
to
be
used
in
various
domains
and
for
different
purposes.
This
paper
presents
a
survey
on
applications
aspects
of
education.
Different
contexts
are
seen,
ranging
from
children
education,
until
higher
A
variety
studies
reported,
areas
like
as
second
language
tutoring,
teaching
assistance,
storytelling.
Robotic
platforms
these
observed,
means
evaluation
users
perception
presented.
Applied System Innovation,
Год журнала:
2024,
Номер
7(3), С. 42 - 42
Опубликована: Май 27, 2024
Social
robots
are
being
conceived
with
different
characteristics
and
used
in
applications.
The
growth
of
social
robotics
benefits
from
advances
fabrication,
sensing,
actuation
technologies,
as
well
signal
processing
artificial
intelligence.
This
paper
presents
a
design
implementation
the
humanoid
robotic
platform
Adam,
consisting
motorized
human-like
head
precise
movements
eyes,
jaw,
neck,
together
capabilities
face
tracking
vocal
conversation
using
ChatGPT.
Adam
relies
on
3D-printed
parts
microphone,
camera,
proper
servomotors,
it
has
high
structural
integrity
flexibility.
Adam’s
control
framework
consists
an
adequate
exploitation
motor
command
strategy
that
allows
efficient
interactions.
is
innovative
combines
manufacturability,
user-friendliness,
low
costs,
acceptability,
sustainability,
offering
advantages
compared
other
platforms.
Indeed,
platform’s
hardware
software
components
adjustable
allow
to
increase
its
abilities
adapt
them
applications
variety
roles.
Future
work
will
entail
development
body
for
addition
skin-like
materials
enhance
appearance.
With
the
rise
in
emerging
technology
of
Artificial
intelligence
applications,
animatronics
robotics
heads
are
getting
more
popular
and
spreading
widely.
This
paper
demonstrates
process
developing
an
robot
head
called
Adam
that
integrates
a
ChatGPT
server
Raspberry
Pi.
The
is
capable
replying
to
responses
questions
asked
through
microphone,
providing
interactive
realistic
experience.
In
addition,
features
camera-based
tracking
system
enables
it
follow
person
speaking,
utilizing
servo
motors
for
smooth
lifelike
movements.
used
has
potential
be
various
including
customer
service
entertainment.
successful
implementation
this
project
highlights
further
advancements
artificial
intelligence.
study
evaluates
effectiveness
environments,
was
tested
on
its
ability
answer
five
questions,
achieving
high
success
rate
between
4
5.
results
indicate
robot's
hardware
software
components,
motors,
motor
controller,
Pi,
server,
reliable
effective
with
recognition
96%.
International Journal of Online and Biomedical Engineering (iJOE),
Год журнала:
2024,
Номер
20(01), С. 23 - 39
Опубликована: Янв. 12, 2024
Commercial
educational
robots
provide
an
accessible
entry
point
into
the
world
of
robotics.
However,
their
programming
is
often
limited
to
specific
platforms,
which
can
make
it
challenging
acquire
skills
necessary
for
industry
and
research.
In
this
study,
we
introduce
open-access
tool
developed
using
C++
Arduino
IDE
that
enables
us
manage
a
commercial
mobile
robot
through
Robot
Operating
System
(ROS)
middleware.
This
provides
programmers
with
ability
work
in
powerful
environment,
such
as
Python.
The
used
CrowBot
BOLT,
kit
based
on
ESP32
wireless
communication
includes
various
peripherals
application
development.
topics
include
velocities,
RGB
LEDs,
buzzer,
programmable
button,
proximity,
light,
line
sensors.
proposal
assessed
two
controllers:
one
proximity
other
tracking
angular
light.
Both
controllers
are
Visual
Studio
Code.
experimental
results
demonstrated
proper
functioning
tool.
Additionally,
response
time
was
evaluated,
found
optimal
performance
achieved
at
frequency
10
Hz.
summary,
option
students
developers
seeking
gain
robotics
ROS.
project’s
repository
located
https://github.com/joseVarelaAldas/ROS-Crowbot.
Robotics,
Год журнала:
2023,
Номер
12(4), С. 111 - 111
Опубликована: Авг. 1, 2023
Three
decades
ago,
telepresence
was
presented
as
an
idea
in
the
context
of
remote
work
and
manipulation.
Since
then,
it
has
evolved
into
a
field
combining
different
technologies
allowing
users
to
have
more
or
less
realistic
perceptions
immersion
environments.
This
paper
reviews
its
recent
advances.
While
not
covering
all
conducted
telepresence,
this
provides
array
applications
for
which
can
be
envisioned,
providing
clear
view
differences
between
components
functionalities
robotic
platforms
conceived
pointing
dependence
on
several
technological
areas.
Furthermore,
challenges
faced
by
are
shown,
with
consideration
user
experiences.
We
consider
from
perspectives,
focusing
specific
parts,
making
possible
foresee
future
directions
research
applications.
review
will
useful
researchers
working
related
fields.
IAES International Journal of Robotics and Automation (IJRA),
Год журнала:
2024,
Номер
13(2), С. 220 - 220
Опубликована: Май 12, 2024
This
research
aims
to
create
a
walking
bipedal
robot
with
center
of
pressure
feedback
simulation
for
the
mass
learning,
describe
its
feasibility
students'
motivation
learn,
and
science
literacy
after
using
it.
The
method
used
ADDIE
(analysis,
design,
development,
implementation,
evaluation).
data
was
obtained
scale
questionnaire,
scale,
scale.
sample
48
people;
obtained,
learning
can
be
implemented
principle
robot's
detected
on
sole
foot
equipped
force
sensitive
resistor
(FSR)
sensor,
position
is
visible
monitor
screen
as
so
that
it
motivate
students
learn
improve
literacy.
seen
from
score,
4.133,
4.072,
4.067
(scale
1
5),
respectively,
in
"good"
category.
Frontiers in Robotics and AI,
Год журнала:
2024,
Номер
11
Опубликована: Дек. 16, 2024
Research
on
social
assistive
robots
in
education
faces
many
challenges
that
extend
beyond
technical
issues.
On
one
hand,
hardware
and
software
limitations,
such
as
algorithm
accuracy
real-world
applications,
render
this
approach
difficult
for
daily
use.
the
other
there
are
human
factors
need
addressing
well,
student
motivations
expectations
toward
robot,
teachers'
time
management
lack
of
knowledge
to
deal
with
technologies,
effective
communication
between
experimenters
stakeholders.
In
paper,
we
present
a
complete
evaluation
design
process
robotic
architecture
targeting
teachers,
students,
researchers.
The
contribution
work
is
three-fold:
(i)
first
high-level
assessment
studies
conducted
students
teachers
allowed
us
build
final
version
architecture's
module
its
graphical
interface;
(ii)
R-CASTLE
from
perspective
implications
developers
researchers;
and,
finally,
(iii)
validated
an
in-depth
qualitative
analysis
five
new
teachers.
Findings
suggest
can
intuitively
import
their
activities
into
our
at
glance,
even
without
prior
contact
any
robot.
