IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 114378 - 114389
Published: Jan. 1, 2023
Existing
robots
rely
on
external
sensors
to
detect
and
prevent
potential
human-robot
collisions.
However,
with
the
growing
demand
for
complex
high-speed
interaction,
inherently
safer
actuators
are
becoming
more
desirable.
Such
offer
robust
protection
against
excessive
impact
force
even
when
fail
or
become
unavailable.
Robot
low
reflected
inertia
effective
stiffness
necessary
achieve
mechanically
interaction.
This
paper
presents
novel
compliant
high
torque-to-inertia
ratios
torque-to-stiffness
without
compromising
output
torque
of
an
actuator.
Comparisons
existing
demonstrate
that
a
robot
proposed
has
much
lower
mass
sensed
at
end-effector.
Impact
analysis
is
presented
verify
effectiveness
ratios.
To
assess
performance
robot,
pose
repeatability
experiment
conducted,
which
shows
end-effector
position
control
precision
comparable
stiff
despite
inherent
compliance
actuators.
These
can
be
used
build
various
human-friendly
expected
improve
safety
reliability
Small,
Journal Year:
2021,
Volume and Issue:
17(44)
Published: Sept. 21, 2021
Abstract
Liquid
crystal
elastomer
(LCE)
fibers
are
capable
of
large
and
reversible
deformations,
making
them
an
ideal
artificial
muscle.
However,
limited
to
stimulating
source
structural
design,
current
LCE
have
not
yet
achieved
both
contraction
ratio
fast
rate
perform
the
intense
motion.
In
this
work,
electrothermal‐responsive
liquid
metal
(LM)
containing
(LM‐LCE)
is
reported.
By
introducing
flexible
metal,
LM‐LCE
retain
deformability
with
a
similar
that
pure
endowed
electrical
responsiveness.
Applying
precisely
controlled
stimulation,
can
be
programmed
by
adjusting
voltage
value
pulse
time.
Under
stimulation
at
1.25
V
cm
−1
,
0.1
s,
produce
over
40%
ultrafast
up
280%
s
.
Furthermore,
mimic
human
triceps
muscle
conduct
precise
ball
shooting.
excellent
extend
their
functionality
as
muscles
movements
expected
enrich
challenging
applications
soft
robots.
Sensors,
Journal Year:
2021,
Volume and Issue:
21(6), P. 2146 - 2146
Published: March 18, 2021
Processing
and
control
systems
based
on
artificial
intelligence
(AI)
have
progressively
improved
mobile
robotic
exoskeletons
used
in
upper-limb
motor
rehabilitation.
This
systematic
review
presents
the
advances
trends
of
those
technologies.
A
literature
search
was
performed
Scopus,
IEEE
Xplore,
Web
Science,
PubMed
using
PRISMA
(Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses)
methodology
with
three
main
inclusion
criteria:
(a)
or
neuromotor
rehabilitation
upper
limbs,
(b)
exoskeletons,
(c)
AI.
The
period
under
investigation
spanned
from
2016
to
2020,
resulting
30
articles
that
met
criteria.
showed
use
neural
networks
(40%),
adaptive
algorithms
(20%),
other
mixed
AI
techniques
(40%).
Additionally,
it
found
only
16%
articles,
developments
focused
trend
research
is
development
wearable
(53%)
fusion
data
collected
multiple
sensors
enrich
training
intelligent
algorithms.
There
a
latent
need
develop
more
reliable
through
clinical
validation
improvement
technical
characteristics,
such
as
weight/dimensions
devices,
order
positive
impacts
process
improve
interactions
among
patients,
teams
health
professionals,
technology.
Sensors,
Journal Year:
2022,
Volume and Issue:
22(3), P. 884 - 884
Published: Jan. 24, 2022
Exoskeletons
are
robots
that
closely
interact
with
humans
and
increasingly
used
for
different
purposes,
such
as
rehabilitation,
assistance
in
the
activities
of
daily
living
(ADLs),
performance
augmentation
or
haptic
devices.
In
last
few
decades,
research
activity
on
these
has
grown
exponentially,
sensors
actuation
technologies
two
fundamental
themes
their
development.
this
review,
an
in-depth
study
works
related
to
exoskeletons
specifically
main
aspects
is
carried
out.
A
preliminary
phase
investigates
temporal
distribution
scientific
publications
capture
interest
studying
developing
novel
ideas,
methods
solutions
exoskeleton
design,
sensors.
The
also
analyzed
respect
device
purpose,
body
part
which
dedicated,
operation
mode
design
methods.
Subsequently,
sensing
described
by
studies
literature
detail,
highlighting
trends
development
spread.
results
presented
a
schematic
approach,
cross
analyses
among
taxonomies
proposed
emphasize
emerging
peculiarities.
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS),
Journal Year:
2021,
Volume and Issue:
unknown, P. 1 - 9
Published: April 21, 2021
Disability
is
defined
as
a
condition
of
the
human
body
that
limits
execution
task
or
activity.
According
to
World
Health
Organization
(WHO),
15%
world's
population
suffers
from
it,
recent
studies
indicate
growing
prevalence
are
significant
problem
and
that,
consequently,
demand
for
rehabilitation
services
rising
considerably.
For
this
reason,
different
authors
propose
use
exoskeletons
in
therapies
an
alternative
solution.
Thanks
progress
kind
technology,
it
possible
create
robotic
systems
help
people
with
disabilities
recover,
totally
partially,
original
movement
their
affected
limbs.
This
Innovative
Review
Article
presents
exhaustive
review
main
features
upper-limb
such
Degrees
Freedom
(DoF),
mechanism
type,
mode,
movements
allowed,
applications
Technology
Readiness
Level
(TRL).
Firstly,
study
provides
brief
description
biomechanics
upper
limbs
body.
Next,
material,
modes
(TRL)
each
these
devices
analyzed.
As
result,
was
observed
aluminum
PLA
most
used
materials
exoskeletons'
manufacturing.
In
addition,
noticed
perform
passive
rehabilitation.
Besides,
identified
common
assistance
limb
patients
who
have
suffered
stroke.
Finally,
using
TLR
scale,
determined
mechatronic
between
TRL5
TRL8.
IEEE Transactions on Industrial Informatics,
Journal Year:
2021,
Volume and Issue:
18(5), P. 3011 - 3021
Published: Sept. 10, 2021
Recently,
the
pneumatic
artificial
muscle
(PAM)
that
can
reproduce
natural
functionalities
has
become
one
of
core
actuator
mechanisms
intelligent
interactive
soft
robots.
Unfortunately,
some
inherent
defects
(e.g.,
unignorable
nonlinearities,
hysteresis,
low
shrinkage
frequencies,
etc.)
have
limited
application
progress
humanoid
PAM
arm
Additionally,
input
constraints
saturations,
dead
zones,
unidirectional
inputs,
etc.),
unexpected
external
disturbances,
unidentifiable
system
parameters,
and
inevitable
unmodeled
dynamics
are
usually
complicated,
which
cannot
be
easily
eliminated
through
existing
adaptive
control
methods.
This
article
proposes
an
fuzzy-sliding
mode
method
for
robots
without
any
information
precise
model
structures
suppress
effects
complicated
unknown
functions
achieve
high
performance
tracking
control,
xmlns:xlink="http://www.w3.org/1999/xlink">simultaneously
.
To
best
our
knowledge,
proposed
controller
is
xmlns:xlink="http://www.w3.org/1999/xlink">first
considers
nonlinear
including
conditions,
Next,
all
constraints,
parameter
uncertainties,
dynamics,
disturbances
estimated
adaptively
by
utilizing
fuzzy
update
law.
Particularly,
a
sliding
law
designed
to
compensate
possible
approximation
errors,
rigorous
Lyapunov-based
stability
analysis
provided
ensure
state
errors
converge
zero
within
xmlns:xlink="http://www.w3.org/1999/xlink">finite
time.
Hardware
experiments
carried
out
later
tovalidate
effectiveness
robustness
method.
Sensors,
Journal Year:
2021,
Volume and Issue:
21(16), P. 5411 - 5411
Published: Aug. 10, 2021
Neuromotor
rehabilitation
and
recovery
of
upper
limb
functions
are
essential
to
improve
the
life
quality
patients
who
have
suffered
injuries
or
pathological
sequels,
where
it
is
desirable
enhance
development
activities
daily
living
(ADLs).
Modern
approaches
such
as
robotic-assisted
provide
decisive
factors
for
effective
motor
recovery,
objective
assessment
progress
patient
potential
implementation
personalized
training
plans.
This
paper
focuses
on
design,
development,
preliminary
testing
a
wearable
robotic
exoskeleton
prototype
with
autonomous
Artificial
Intelligence-based
control,
processing,
safety
algorithms
that
fully
embedded
in
device.
The
proposed
1-DoF
system
allows
flexion-extension
at
elbow
joint,
chosen
materials
render
compact.
Different
operation
modes
supported
by
hierarchical
control
strategy,
allowing
mode,
remote
leader-follower
mode.
Laboratory
tests
validate
proper
integrated
technologies,
highlighting
low
latency
reasonable
accuracy.
experimental
result
shows
device
can
be
suitable
use
providing
support
diagnostic
processes
neuromotor
functions,
although
optimizations
rigorous
clinical
validation
required
beforehand.
IEEE Transactions on Medical Robotics and Bionics,
Journal Year:
2023,
Volume and Issue:
5(4), P. 780 - 792
Published: Aug. 30, 2023
Neurological
injuries
are
one
of
the
main
reasons
for
loss
functional
mobility
in
humans.
Compromised
functionalities
may
include
restrictions
shoulder's
range
motion.
Robotic
devices,
used
physical
therapy
shoulder,
have
different
mechanism
designs
and
control
strategies.
The
aim
this
paper
is
to
provide
a
detailed
review
mechanisms
shoulder
rehabilitation
robots
as
well
their
Shoulder
robot
grouped
based
on
actuating
systems,
namely,
cable-driven
power-driven
mechanisms.
actuation
systems
considered
during
study
electrical
actuators,
pneumatic
series
elastic
muscle
actuators.
Experimental
evaluation
validation
previous
also
discussed
citing
constraints
limitations.
Safety
aspects
existing
been
discussed.
This
presents
advantages
disadvantages
previously
proposed
robots,
actuation,
strategies
concludes
by
presenting
future
challenges
pathways.
IEEE Transactions on Medical Robotics and Bionics,
Journal Year:
2023,
Volume and Issue:
5(2), P. 375 - 386
Published: April 25, 2023
This
paper
presents
a
novel
cable-driven
exoskeleton
(BiEXO)
for
the
upper
limb
including
shoulder
and
elbow
joints.
BiEXO
is
made
of
carbon
fiber
that
inspired
by
Bamboo
structure.
The
key
components
are
tubes
mimic
bamboo
tubes.
A
combined
driver
developed
with
two
mechanisms
(CDMs)
power
transmission
belt
(PTB).
CDMs
used
flexion/extension
movement
utilizing
cables
to
skeletal
muscle's
function,
while
PTB
system
drives
link
scapula
joint
abduction/adduction
movement.
Simulation
studies
evaluation
experiments
were
performed
demonstrate
efficacy
overall
system.
To
determine
strength-to-weight
bamboo-inspired
links
guarantee
high
buckling
strength
in
face
loads
imposed
from
user
side
structure,
finite
element
analysis
(FEA)
was
performed.
results
show
has
more
comparison
common
long
tube.
kinematic
configuration
modeled
modified
Denavit-Hartenberg
(D-H)
notation.
mean
absolute
error
(MAE)
5.9
mm,
root-mean-square
(RMSE)
6
mm.
In
addition,
verification
tracking
trajectory
Cartesian
space
wear
trials
on
subject
carried
out
prototype.
satisfactory
indicate
be
promising
rehabilitation
or
assistance
future.
IEEE Access,
Journal Year:
2021,
Volume and Issue:
9, P. 110396 - 110420
Published: Jan. 1, 2021
Significant
attention
has
been
paid
to
robotic
rehabilitation
using
various
types
of
actuator
and
power
transmission.
Amongst
those,
cable-driven
robots
(CDRRs)
are
relatively
newer
their
control
strategies
have
evolving
in
recent
years.
CDRRs
offer
several
promising
features,
such
as
low
inertia,
lightweight,
high
payload-to-weight
ratio,
large
work-space
configurability.
In
this
paper,
we
categorize
review
the
three
main
groups
concerning
applications
for
upper
limb,
lower
waist
rehabilitation.
For
each
group,
target
movements
identified,
designs
analyzed
terms
actuators,
controllers
interactions
with
humans.
Particular
given
verified
clinical
performance
actual
settings.
A
part
paper
is
dedicated
comparing
techniques
under
five
categories
of:
Impedance-based,
PID-based,
Admittance-based,
Assist-as-needed
(AAN)
Adaptive
controllers.
We
carefully
contrasted
advantages
disadvantages
those
methods
aim
assisting
design
future
CDRRs.