Sensors,
Год журнала:
2024,
Номер
24(23), С. 7796 - 7796
Опубликована: Дек. 5, 2024
(1)
Background:
Human
detection
and
tracking
are
critical
tasks
for
assistive
autonomous
robots,
particularly
in
ensuring
safe
efficient
human-robot
interaction
indoor
environments.
The
increasing
need
personal
assistance
among
the
elderly
people
with
disabilities
has
led
to
development
of
innovative
robotic
systems.
(2)
Methods:
This
research
presents
a
lightweight
two-layer
control
architecture
human-following
robot,
integrating
fuzzy
behavior-based
system
low-level
embedded
controllers.
uses
an
RGB-D
sensor
capture
distance
angular
data,
processed
by
controller
generate
speed
set-points
robot's
motors.
layer
was
developed
using
pole
placement
internal
model
(IMC)
methods.
(3)
Results:
Experimental
validation
demonstrated
that
proposed
enables
robot
follow
person
real
time,
maintaining
predefined
following
1.3
m
each
five
conducted
trials.
IMC-based
superior
performance
compared
across
all
evaluated
metrics.
(4)
Conclusions:
effectively
addresses
challenges
environments,
offering
robust,
real-time
solution
suitable
robotics
limited
computational
resources.
system's
modularity
scalability
make
it
promising
approach
future
developments
robotics.
Technologies,
Год журнала:
2024,
Номер
12(5), С. 68 - 68
Опубликована: Май 13, 2024
The
Technology
Acceptance
Model
(TAM)
plays
a
pivotal
role
in
elderly
healthcare,
serving
as
theoretical
framework.
This
study
aimed
to
identify
TAM’s
core
components,
practical
applications,
challenges
arising
from
its
and
propose
countermeasures
healthcare.
descriptive
was
conducted
by
utilizing
OpenAI’s
ChatGPT,
with
an
access
date
of
10
January
2024.
three
open-ended
questions
administered
ChatGPT
responses
were
collected
qualitatively
evaluated
for
reliability
through
previous
studies.
components
TAMs
identified
perceived
usefulness,
ease
use,
attitude
toward
behavioral
intention
subjective
norms,
image,
facilitating
conditions.
application
areas
span
various
technologies
such
telehealth,
wearable
devices,
mobile
health
apps,
more.
Challenges
TAM
applications
include
technological
literacy
barriers,
digital
divide
concerns,
privacy
security
apprehensions,
resistance
change,
limited
awareness
information,
conditions
cognitive
impairment,
trust
lack
tailored
interventions,
overcoming
age
stereotypes,
integration
traditional
In
conclusion,
customized
interventions
are
crucial
successful
tech
acceptance
among
the
population.
findings
this
expected
enhance
understanding
healthcare
technology
adoption,
insights
gained
natural
language
processing
models
like
anticipated
provide
fresh
perspective.
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Июль 2, 2024
The
application
of
artificial
intelligence
(AI)
in
healthcare
is
an
important
public
health
issue.
However,
few
studies
have
investigated
the
perceptions
and
attitudes
professionals
toward
its
applications
nursing.
This
study
aimed
to
explore
knowledge,
attitudes,
concerns
professionals,
AI-related
others
China
AI
Journal of Nursing Management,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Aims:
The
present
study
aimed
to
investigate
the
trends
and
research
status
of
global
nursing
robot
research.
Background:
aging
population
has
intensified
demand
for
caregiving
services,
highlighting
need
innovative
solutions
like
robots
address
caregiver
shortages
enhance
healthcare
efficiency.
A
bibliometric
analysis
from
2014
2024
are
noteworthy
but
limited.
Methods:
We
searched
Web
Science
database
relevant
articles
concerning
robots,
published
between
January
1,
October
30,
2024.
Data
collected
include:
number
publications,
countries,
institutions,
authors,
journals,
reference,
keywords.
CiteSpace
were
used
conduct
analysis.
Results:
included
a
total
696
which
produced
by
165
institutions
66
countries
involved
243
authors.
publications
exhibited
generally
increasing
trend
with
fluctuations
over
time.
United
States
America
contributed
majority
articles,
187
accounting
26.87%
total.
Griffith
University
Australia
led
11
representing
1.58%
overall
count.
International
Journal
Social
Robotics
was
most
prolific
in
publishing
on
162
publications.
Through
timeline
graph
burst
terms,
we
identified
technology,
functionality,
impact
as
hotspots.
application
social
patient
care
advancements
team
collaboration
during
robot-assisted
surgery
potential
emerging
directions.
Conclusions:
This
presents
an
overview
landscape
past
decade.
offer
valuable
insights
direction
future
trajectories
domain
robots.
Implications
Nursing
Management:
administrators
can
appropriately
apply
assist
improving
efficiency,
thereby
freeing
up
nurses'
time
focus
more
complex
care.
Frontiers in Robotics and AI,
Год журнала:
2025,
Номер
12
Опубликована: Апрель 7, 2025
Robots
have
the
potential
to
support
older
adults
with
cognitive
impairments
and
mobility
in
daily
tasks
that
could
promote
their
independence,
enhance
abilities,
ensure
safety,
lower
healthcare
costs.
Using
a
participatory
design
approach,
we
focused
on
identifying
functional
capabilities
of
Stretch
robot
various
or
impairments.
Twelve
participants
(aged
60-97)
were
recruited
interact
give
feedback
regarding
home
environment.
is
mobile
manipulator
designed
everyday
activities
using
lightweight
telescoping
arm
mounted
base.
We
conducted
semi-structured
interview
as
they
observed
interacted
Stretch,
performing
such
providing
reminders,
picking
up
delivering
items,
facilitating
video
calls.
The
asked
share
areas
application
related
illustrate
how
them
homes.
Our
user-centered
approach
provided
unique
opportunity
understand
needs
impairments,
identify
type
support,
gain
insights
into
facilitators
barriers
for
adoption.
Municipal economy of cities,
Год журнала:
2025,
Номер
1(189), С. 428 - 440
Опубликована: Апрель 2, 2025
This
study
investigates
the
safety
levels
and
risk
assessment
of
personal
care
robots,
focusing
on
their
interaction
with
users
potential
hazards.
The
increasing
use
autonomous
robots
in
care,
particularly
for
elderly
individuals,
presents
significant
concerns.
Although
these
are
designed
to
assist
daily
activities,
they
pose
risks
such
as
mechanical
injuries,
electrical
malfunctions,
privacy
violations.
Additionally,
ethical
concerns
regarding
user
dependency
psychological
effects
becoming
increasingly
relevant.
research
categorizes
into
three
groups:
mobile
servant
transportation
physical
assistant
robots.
A
comprehensive
analysis
accidents
involving
has
identified
most
common
hazards,
including
sensor
unexpected
movements,
collisions.
evaluates
existing
methodologies,
Model-Based
Safety
Engineering
(MBSE),
Analysis
(MBSA),
fuzzy
inference
systems
based
ISO
13482
standards.
systematic
method
was
developed,
incorporating
checklists,
surveys,
a
matrix
quantify
hazard
levels.
evaluation
specific
robots—Lio
(a
robotic
arm),
iARM
arm
mounted
wheelchair),
KAIST
wearable
exoskeleton
robot)—demonstrated
varying
risk,
dangers
associated
force,
power
failures,
unintentional
shutdowns.
Special
attention
given
prolonged
human-robot
interactions,
stress
dilemmas
autonomy
decision-making
caregiving
environments.
Findings
indicate
that
while
some
can
be
mitigated
through
design
improvements,
others
require
enhanced
awareness
regulatory
measures.
Key
recommendations
include
improving
reliability,
implementing
emergency
stop
mechanisms,
enhancing
training
programs.
manufacturers
should
incorporate
advanced
human-detection
algorithms
collision
avoidance
technologies
minimize
harm.
Furthermore,
considerations,
impact
robot
interactions
data
security,
discussed
in-depth,
highlighting
need
strict
guidelines
deployment.
In
conclusion,
this
underscores
necessity
integrating
robust
measures
robotics
prevent
ensure
well-being.
Future
focus
refining
models,
protocols,
advancing
regulations
continuous
adaptation
protocols
will
crucial
addressing
emerging
ensuring
widespread
acceptance
healthcare
assistance
sectors.
Interdisciplinary Nursing Research,
Год журнала:
2024,
Номер
3(2), С. 119 - 125
Опубликована: Май 24, 2024
Abstract
With
the
aging
of
China’s
population
and
changes
in
disease
spectrum
older
adults,
China
will
face
a
multitude
age-related
health
issues
and,
turn,
demand
for
medical
care
services.
Artificial
Intelligence
(AI)
equipment
has
become
an
effective
means
addressing
imbalances
between
supply
AI
can
provide
intelligent,
precise
personalized
services
elderly,
core
which
is
to
analyze
data
generated
during
use
real-time
feedback.
Common
includes
mobility
aid
devices,
bathing
smart
wearable
robots.
not
only
help
adults
other
users
with
daily
living
assistance
rehabilitation,
but
also
prevention,
environmental
risk
factor
screening
as
well
emotional
communication
psychological
support.
The
technical,
social
market
dilemmas
faced
by
be
solved
through
establishment
industry
standards,
formulation
laws
regulations,
strengthening
talent
training.
Our
goal
promote
popularity
development
equipment,
address
shortage
resources
brought
about
population.
