IEEE Transactions on Systems Man and Cybernetics Systems,
Journal Year:
2024,
Volume and Issue:
54(7), P. 4139 - 4150
Published: March 27, 2024
Micron-range
untethered,
magnetic
helical
robots
have
great
potential
for
biomedical
applications
due
to
their
desirable
performance
with
high
flexibility
and
accuracy
in
unstructured
confined
environments.
However,
at
the
microscale,
time-varying
uncertain
disturbances
environment
electromagnetic
system
greatly
hinder
microrobot
tracking
control
performance.
When
a
is
replaced
or
even
derivative
version
slight
body
structure
change
used
different
tasks,
of
original
scheme
remarkably
decreases
becomes
ineffective.
Here,
we
propose
data-driven
optimal
integrated
controller
(D
2
-OIC)
that
realizes
precise
transfer
among
series
microrobots
derived
structures
situations.
The
approach
has
parallel
nonlinear
feedforward
linear
feedback
controllers.
inversely
maps
relationship
between
field
state
motion
state,
allowing
quickly
desired
state.
effectively
adjusts
parameters
using
virtual
reference
tuning
(VRFT)
method,
thus
eliminating
any
residual
errors
arising
from
control.
By
retraining
on
newly
acquired
collected
cumulative
data
assigned
weights,
updated
achieve
various
types.
In
experiment,
two
types
performed
arbitrary
path
obstacle
avoidance
tasks
consistently
less
than
4%
length,
demonstrating
feasibility
proposed
method.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Dec. 6, 2022
Abstract
The
geometric
reconfigurations
in
three-dimensional
morphable
structures
have
a
wide
range
of
applications
flexible
electronic
devices
and
smart
systems
with
unusual
mechanical,
acoustic,
thermal
properties.
However,
achieving
the
highly
controllable
anisotropic
transformation
dynamic
regulation
architected
materials
crossing
different
scales
remains
challenging.
Herein,
we
develop
magnetic
approach
that
provides
an
enabling
technology
to
achieve
unveil
their
modulation
mechanism
as
well
potential
applications.
With
buckling
instability
encoded
heterogeneous
magnetization
profiles
inside
soft
materials,
spatially
temporally
programmed
inputs
drive
formation
variety
morphological
transformations
reconfiguration.
introduction
stimulation
could
help
predetermine
states
enable
definite
without
prolonged
input.
modulations
can
be
exploited
build
switchable
fluidic
properties
are
demonstrated
capabilities
manipulation,
selective
particle
trapping,
sensitivity-enhanced
biomedical
analysis,
robotics.
work
new
insights
harness
programmable
promises
benefits
microfluidics,
metamaterials,
ACS Applied Materials & Interfaces,
Journal Year:
2023,
Volume and Issue:
15(21), P. 25942 - 25951
Published: May 19, 2023
Faced
with
complex
and
diverse
tasks,
researchers
seek
to
introduce
stimuli-responsive
materials
into
the
field
of
microrobots.
Magnetic
helical
microrobots
based
on
shape-memory
polymers
demonstrate
excellent
locomotion
capability
programmable
shape
transformations.
However,
stimulation
method
changes
is
still
dependent
rising
ambient
temperature
lacks
ability
address
individuals
among
multiple
In
this
paper,
magnetic
were
prepared
polylactic
acid
Fe3O4
nanoparticles,
which
demonstrated
controlled
under
rotating
fields
in
their
length,
diameter,
chirality.
The
transition
recoveries
was
adjusted
a
range
above
37
°C.
At
46
°C,
had
fast
change
recovery
ratio
72%
minute.
photothermal
effect
nanoparticles
near-infrared
laser
can
actuate
rapidly,
77%
15
s
90%
strategy
also
allows
addressing
microrobots,
or
even
within
single
microrobot,
selectively
stimulating
one
part
its
shape.
Combined
field,
laser-addressed
used
for
precise
deployment
individual
control
Multiple
be
enriched
at
targeted
point,
heating
over
internal
parts
help
them
grasp
assemble
objects.
Such
have
great
potential
biomedicine
micromanipulation.
Accounts of Materials Research,
Journal Year:
2024,
Volume and Issue:
5(2), P. 173 - 183
Published: Jan. 22, 2024
ConspectusMiniature
machines
that
are
highly
controllable
have
received
widespread
attention
due
to
their
potential
applications
in
smart
medicine
and
micromanipulation,
especially
those
developed
based
on
soft
matter.
The
inherent
compliance
of
matter
can
enhance
the
adaptability
miniature
a
complex
working
environment
or
objects
being
manipulated.
Furthermore,
with
rapid
development
materials
science
control
technology,
emergence
various
responsive
matters
has
promoted
remote
even
autonomous
actuation
capabilities
as
well
reconfigurable
properties.
Despite
burgeoning
efforts
devoted
programming
precise
machines,
exploration
is
still
its
infancy.
Due
nonlinearity
response
active
matter,
comprehensive
understanding
modeling
deformation
needed.
Besides,
systematic
study
on-demand
material
components
physical
properties
at
submillimeter,
micro-,
nanoscale
levels
also
important.
Hence,
more
in-depth
research
composition,
mechanisms,
methods
needed
promote
construction
novel
practical
future.Based
regulation
fields
chemical
substances,
demonstrate
shape-morphing
without
restraint.
Among
stimulation
methods,
magnetic
strategy
possesses
outstanding
advantages
terms
safety,
controllability,
penetration
depth,
which
endow
huge
fundamental
engineering
applications.
Programmable
provides
powerful
platform
explore
patterns
locomotion
behaviors
nature.
Under
action
nonuniform
torques
generated
by
programmable
stimulation,
could
undergo
series
morphological
transformations.
promising
solution
for
developing
optimized
speed
energy
density.
Therefore,
through
exquisite
assembly
structural
design,
composed
compatible
many
application
scenarios,
biomedical
engineering.In
this
Account,
we
provide
overview
recent
significant
advancements
achieved
our
group
others
First,
elucidate
interaction
mechanism
between
diverse
agents
available
matrices
including
polymer
matrices,
liquid
non-Newtonian
fluids.
We
then
illustrate
encoding
heterogeneous
magnetization
profile
particle
orientation,
3D
transformations
under
(e.g.,
origami
kirigami
deformation,
surface
Gaussian
curvature).
Next,
discussed,
focusing
devices,
flexible
electronics.
Finally,
an
outlook
prospects
opportunities
future
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(30)
Published: July 15, 2024
Autonomous
nanorobots
represent
an
advanced
tool
for
precision
therapy
to
improve
therapeutic
efficacy.
However,
current
nanorobotic
designs
primarily
rely
on
inorganic
materials
with
compromised
biocompatibility
and
limited
biological
functions.
Here,
we
introduce
enzyme-powered
bacterial
outer
membrane
vesicle
(OMV)
nanorobots.
The
immobilized
urease
the
OMV
catalyzes
decomposition
of
bioavailable
urea,
generating
effective
propulsion
This
nanorobot
preserves
unique
features
OMVs,
including
intrinsic
biocompatibility,
immunogenicity,
versatile
surface
bioengineering
desired
biofunctionalities,
capability
cargo
loading
protection.
We
present
OMV-based
designed
tumor
by
leveraging
properties
OMVs.
These
involve
robotic
body
cell-penetrating
peptide
targeting
penetration,
which
is
further
enhanced
active
Additionally,
can
effectively
safeguard
loaded
gene
silencing
tool,
small
interfering
RNA
(siRNA),
from
enzymatic
degradation.
Through
systematic
in
vitro
vivo
studies
using
a
rodent
model,
demonstrate
that
these
substantially
siRNA
delivery
immune
stimulation,
resulting
utmost
effectiveness
suppression
when
juxtaposed
static
groups,
particularly
evident
orthotopic
bladder
model.
opens
inspiring
avenue
design
medical
robots
expanded
versatility
adaptability,
broadening
their
operation
scope
practical
biomedical
domains.
IEEE Transactions on Systems Man and Cybernetics Systems,
Journal Year:
2024,
Volume and Issue:
54(7), P. 4139 - 4150
Published: March 27, 2024
Micron-range
untethered,
magnetic
helical
robots
have
great
potential
for
biomedical
applications
due
to
their
desirable
performance
with
high
flexibility
and
accuracy
in
unstructured
confined
environments.
However,
at
the
microscale,
time-varying
uncertain
disturbances
environment
electromagnetic
system
greatly
hinder
microrobot
tracking
control
performance.
When
a
is
replaced
or
even
derivative
version
slight
body
structure
change
used
different
tasks,
of
original
scheme
remarkably
decreases
becomes
ineffective.
Here,
we
propose
data-driven
optimal
integrated
controller
(D
2
-OIC)
that
realizes
precise
transfer
among
series
microrobots
derived
structures
situations.
The
approach
has
parallel
nonlinear
feedforward
linear
feedback
controllers.
inversely
maps
relationship
between
field
state
motion
state,
allowing
quickly
desired
state.
effectively
adjusts
parameters
using
virtual
reference
tuning
(VRFT)
method,
thus
eliminating
any
residual
errors
arising
from
control.
By
retraining
on
newly
acquired
collected
cumulative
data
assigned
weights,
updated
achieve
various
types.
In
experiment,
two
types
performed
arbitrary
path
obstacle
avoidance
tasks
consistently
less
than
4%
length,
demonstrating
feasibility
proposed
method.