2021 IEEE International Conference on Robotics and Biomimetics (ROBIO),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 6
Published: Dec. 4, 2023
Vision-based
tactile
sensors
(VBTS)
leverages
visual
modality
to
present
high-resolution
information.
The
vision-based
sensing
mechanism
has
good
adaptability
robot
manipulation
because
of
available
information
capture
and
data
processing.
However,
the
simulation
VBTS
is
a
challenging
problem
it
deals
with
computer
graphics
elasto-plastic
deformation.
In
this
paper,
we
propose
approach
for
using
rendering
based
on
path
tracing.
method
can
be
integrated
existing
robotic
simulators
systems.
addition,
control
efficiency
quality
by
controlling
number
voxels
in
fitting
deformation
area
meet
requirements
efficient
training.
experimental
results
verify
that
our
provide
high-quality
images
at
low
or
reduce
image
improve
efficiency.
Our
work
potential
advance
sim-to-real
research
VBTS.
IEEE Robotics and Automation Letters,
Journal Year:
2023,
Volume and Issue:
8(10), P. 6307 - 6314
Published: Aug. 18, 2023
This
letter
proposes
a
vision-based
tactile
sensor
named
TIRgel,
leveraging
visual
integration
to
simplify
the
sensing
system.
First,
achieves
conversion
of
and
modality
via
focus
adjustment.
Under
far-focus
imaging,
camera
can
observe
external
environments;
near-focus
we
perform
total
internal
reflection
(TIR)
within
lenticular
elastomer
visualize
features.
The
effectiveness
mechanism
is
verified
MPM
(Material
Point
Method)
simulation.
Second,
TIRgel
capture
extract
micron-scale
details
based
on
luminosity
information.
Tactile
imaging
has
natural
fusion
information,
where
boundary
reflects
texture
feature,
background
contains
object's
appearance
Inherent
data
simplifies
multimodal
acquisition
reduces
information
processing
difficulty.
Finally,
resist
interference
ambient
brightness
illumination
higher
adaptive
capacity
environment
than
unidirectional
perspective
VBTSs.
We
believe
that
it
potential
provide
visual-tactile
for
robot
operation.
IEEE Sensors Journal,
Journal Year:
2024,
Volume and Issue:
24(9), P. 15273 - 15282
Published: March 18, 2024
Visuo-tactile
skins
(VTSs)
are
classified
into
coated-type,
marker-type,
and
thermochromic-type.
Coating
wear
resistance
spatial
resolution
central
issues
for
the
coated-type
VTS.
This
article
proposes
a
wire-drawing
process
applied
to
VTS
enhance
coating
robustness.
The
has
more
stable
mechanical
properties,
including
high
adhesion,
adaptive
deformation,
rupture
resistance.
Under
different
degrees
of
it
can
remain
continuous
undamaged.
In
addition,
nanoscale
particle
distribution,
whose
microstructures
similar
spraying
provide
micron-scale
resolution.
Via
test,
higher
than
coating.
Further,
combined
with
multitask
learning
model
identify
textures
clothing
properties
18
fabrics
98%
recognition
accuracy.
results
show
that
using
new
highly
learnable
tactile
data.
IEEE Journal of Selected Topics in Signal Processing,
Journal Year:
2024,
Volume and Issue:
18(3), P. 288 - 298
Published: April 1, 2024
This
paper
proposes
a
vision-based
tactile
sensor
(VBTS)
embedded
into
the
soft
hand
palm,
named
PaLmTac.
We
adopt
distributed
modality
design
instead
of
overlaying
function
layers.
On
one
hand,
problem
unrelated
integration
(texture
and
temperature)
is
solved.
other
combining
regional
recognition
can
avoid
mixed
information.
Herein,
Level-Regional
Feature
Extraction
Network
(LRFE-Net)
presented
to
match
design.
leverage
feature
mapping,
convolution,
vectorization
construct
mechanism,
which
extract
features
in
parallel
control
fusion
degrees.
The
level
mechanism
balances
learning
difficulty
each
modality.
Compared
with
existing
VBTSs,
PaLmTac
optimizes
reduces
interference.
provides
novel
idea
multimodal
VBTS
sensing
expected
be
applied
human-computer
interaction
scenarios
based
on
fusion.
IEEE Journal of Selected Topics in Signal Processing,
Journal Year:
2024,
Volume and Issue:
18(3), P. 267 - 287
Published: April 1, 2024
Tactile
sensors,
which
provide
information
about
the
physical
properties
of
objects,
are
an
essential
component
robotic
systems.The
visuotactile
sensing
technology
with
merits
high
resolution
and
low
cost
has
facilitated
development
robotics
from
environment
exploration
to
dexterous
operation.Over
years,
several
reviews
on
sensors
for
robots
have
been
presented,
but
few
them
discussed
significance
signal
processing
methods
sensors.Apart
ingenious
hardware
design,
full
potential
sensory
system
toward
designated
tasks
can
only
be
released
appropriate
methods.Therefore,
this
paper
provides
a
comprehensive
review
perspective
outlooks
possible
future
research
directions
sensors.
Advanced Intelligent Systems,
Journal Year:
2023,
Volume and Issue:
5(11)
Published: Aug. 17, 2023
Artificial
intelligence
promotes
the
development
of
mineral/rock
automatic
recognition
technology
to
reduce
labor
costs
and
reliance
on
personal
experience.
With
instrument
digitization,
image
has
played
an
increasingly
important
role.
This
review
focuses
sensing
system
applied
identification
redivides
this
into
a
module,
imaging
information
processing
module.
The
mechanisms
are
summarized
via
technologies
sensing,
imaging,
display.
is
classified
single‐modal
or
multimodal
recognition.
analyzes
limitations
discusses
advantages
significance
challenges
current
concluded,
such
as
public
database,
learning,
portable
system.
interdisciplinary
discussed,
application
feasibility
explored.
aims
provide
reference
for
research
community
in
optimization.
