ACS Chemical Neuroscience,
Journal Year:
2021,
Volume and Issue:
12(11), P. 1835 - 1853
Published: May 19, 2021
The
blood–brain
barrier
(BBB)
is
a
prime
focus
for
clinicians
to
maintain
the
homeostatic
function
in
health
and
deliver
theranostics
brain
cancer
number
of
neurological
diseases.
structural
hierarchy
situ
biochemical
signaling
BBB
neurovascular
unit
have
been
primary
targets
recapitulate
into
vitro
modules.
microengineered
perfusion
systems
development
3D
cellular
organoid
culture
given
major
thrust
research
neuropharmacology.
In
this
review,
we
on
revisiting
nanoparticles
based
bimolecular
engineering
enable
them
maneuver,
control,
target,
theranostic
payloads
across
as
nanorobots
or
nanobots.
Subsequently
provide
brief
outline
specific
case
studies
addressing
payload
delivery
tumor
disorders
(e.g.,
Alzheimer's
disease,
Parkinson's
multiple
sclerosis,
etc.).
addition,
also
address
opportunities
challenges
nanorobots'
design.
Finally,
how
computationally
powered
machine
learning
(ML)
tools
artificial
intelligence
(AI)
can
be
partnered
with
robotics
predict
design
next
generation
interact
without
causing
damage,
toxicity,
malfunctions.
content
review
could
references
multidisciplinary
science
clinicians,
roboticists,
chemists,
bioengineers
involved
cutting-edge
pharmaceutical
research.
Chemical Society Reviews,
Journal Year:
2024,
Volume and Issue:
53(18), P. 9190 - 9253
Published: Jan. 1, 2024
Autonomous
micro/nanorobots
capable
of
performing
programmed
missions
are
at
the
forefront
next-generation
micromachinery.
These
small
robotic
systems
predominantly
constructed
using
functional
components
sourced
from
micro-
and
nanoscale
materials;
therefore,
combining
them
with
various
advanced
materials
represents
a
pivotal
direction
toward
achieving
higher
level
intelligence
multifunctionality.
This
review
provides
comprehensive
overview
for
innovative
micro/nanorobotics,
focusing
on
five
families
that
have
witnessed
most
rapid
advancements
over
last
decade:
two-dimensional
materials,
metal-organic
frameworks,
semiconductors,
polymers,
biological
cells.
Their
unique
physicochemical,
mechanical,
optical,
properties
been
integrated
into
to
achieve
greater
maneuverability,
programmability,
intelligence,
multifunctionality
in
collective
behaviors.
The
design
fabrication
methods
hybrid
discussed
based
material
categories.
In
addition,
their
promising
potential
powering
motion
and/or
(multi-)functionality
is
described
fundamental
principles
underlying
explained.
Finally,
extensive
use
variety
applications,
including
environmental
remediation,
(bio)sensing,
therapeutics,
Micromachines,
Journal Year:
2024,
Volume and Issue:
15(4), P. 468 - 468
Published: March 29, 2024
Magnetically
actuated
microrobots
have
become
a
research
hotspot
in
recent
years
due
to
their
tiny
size,
untethered
control,
and
rapid
response
capability.
Moreover,
an
increasing
number
of
researchers
are
applying
them
for
micro-/nano-manipulation
the
biomedical
field.
This
survey
provides
comprehensive
overview
developments
magnetic
microrobots,
focusing
on
materials,
propulsion
mechanisms,
design
strategies,
fabrication
techniques,
diverse
applications.
The
exploration
biosafety
considerations,
methods
serves
as
foundation
designs
discussed
this
review.
paper
delves
into
categories,
encompassing
helical,
surface,
ciliary,
scaffold,
biohybrid
with
each
demonstrating
unique
capabilities.
Furthermore,
various
including
direct
laser
writing,
glancing
angle
deposition,
biotemplating
synthesis,
template-assisted
electrochemical
self-assembly,
examined
owing
contributions
realization
microrobots.
potential
impact
across
multidisciplinary
domains
is
presented
through
application
areas,
such
drug
delivery,
minimally
invasive
surgery,
cell
manipulation,
environmental
remediation.
review
highlights
summary
current
challenges,
hurdles
overcome,
future
directions
microrobot
different
fields.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 765 - 765
Published: Jan. 27, 2025
This
article
focuses
on
the
integration
of
Internet
Things
(IoT)
and
Robotic
Things,
representing
a
dynamic
research
area
with
significant
potential
for
industrial
applications.
The
(IoRT)
integrates
IoT
technologies
into
robotic
systems,
enhancing
their
efficiency
autonomy.
provides
an
overview
used
in
IoRT,
including
hardware
components,
communication
technologies,
cloud
services.
It
also
explores
IoRT
applications
industries
such
as
healthcare,
agriculture,
more.
discusses
challenges
future
directions,
data
security,
energy
efficiency,
ethical
issues.
goal
is
to
raise
awareness
importance
demonstrate
how
this
technology
can
bring
benefits
across
various
sectors.
The European Physical Journal E,
Journal Year:
2025,
Volume and Issue:
48(2)
Published: Feb. 1, 2025
In
the
past
years,
amount
of
research
on
active
matter
has
grown
extremely
rapidly,
a
fact
that
is
reflected
in
particular
by
existence
more
than
1000
reviews
this
topic.
Moreover,
field
become
very
diverse,
ranging
from
theoretical
studies
statistical
mechanics
particles
to
applied
work
medical
applications
microrobots
and
biological
systems
artificial
swimmers.
This
makes
it
difficult
get
an
overview
over
as
whole.
Here,
we
provide
such
form
metareview
article
surveys
existing
review
articles
books
matter.
Thereby,
provides
useful
starting
point
for
finding
literature
about
specific
ACS Chemical Neuroscience,
Journal Year:
2021,
Volume and Issue:
12(11), P. 1835 - 1853
Published: May 19, 2021
The
blood–brain
barrier
(BBB)
is
a
prime
focus
for
clinicians
to
maintain
the
homeostatic
function
in
health
and
deliver
theranostics
brain
cancer
number
of
neurological
diseases.
structural
hierarchy
situ
biochemical
signaling
BBB
neurovascular
unit
have
been
primary
targets
recapitulate
into
vitro
modules.
microengineered
perfusion
systems
development
3D
cellular
organoid
culture
given
major
thrust
research
neuropharmacology.
In
this
review,
we
on
revisiting
nanoparticles
based
bimolecular
engineering
enable
them
maneuver,
control,
target,
theranostic
payloads
across
as
nanorobots
or
nanobots.
Subsequently
provide
brief
outline
specific
case
studies
addressing
payload
delivery
tumor
disorders
(e.g.,
Alzheimer's
disease,
Parkinson's
multiple
sclerosis,
etc.).
addition,
also
address
opportunities
challenges
nanorobots'
design.
Finally,
how
computationally
powered
machine
learning
(ML)
tools
artificial
intelligence
(AI)
can
be
partnered
with
robotics
predict
design
next
generation
interact
without
causing
damage,
toxicity,
malfunctions.
content
review
could
references
multidisciplinary
science
clinicians,
roboticists,
chemists,
bioengineers
involved
cutting-edge
pharmaceutical
research.