Biomimetics,
Год журнала:
2023,
Номер
8(8), С. 620 - 620
Опубликована: Дек. 18, 2023
Smart
manufacturing
needs
cognitive
computing
methods
to
make
the
relevant
systems
more
intelligent
and
autonomous.
In
this
respect,
bio-inspired
(i.e.,
biologicalization)
can
play
a
vital
role.
This
article
is
written
from
perspective.
particular,
provides
general
overview
of
method
called
DNA-Based
Computing
(DBC),
including
its
theory
applications.
The
main
theme
DBC
central
dogma
molecular
biology
(once
information
DNA/RNA
has
got
into
protein,
it
cannot
get
out
again),
i.e.,
DNA
RNA
(sequences
four
types
nucleotides)
protein
(sequence
twenty
amino
acids)
are
allowed,
but
not
reverse
ones.
Thus,
transfers
few-element
(DNA/RAN-like)
many-element
(protein-like).
characteristic
help
solve
problems
(e.g.,
pattern
recognition).
take
many
forms;
elucidates
two
forms,
denoted
as
DBC-1
DBC-2.
Using
arbitrary
numerical
examples,
we
demonstrate
that
various
problems,
e.g.,
“similarity
indexing
between
seemingly
different
inherently
identical
objects”
“recognizing
regions
an
image
separated
by
complex
boundary.”
addition,
using
example,
DBC-2
following
problem:
“pattern
recognition
when
insufficient.”
remarkable
thing
smart
manufacturing-based
digital
twins
big
data
analytics)
must
abovementioned
enablers
machine
tools
monitoring
systems)
self-reliant
Consequently,
improve
problem-solving
ability
manufacturing-relevant
enrich
their
biologicalization.
CIRP Annals,
Год журнала:
2024,
Номер
73(2), С. 723 - 749
Опубликована: Янв. 1, 2024
Inspired
by
the
natural
intelligence
of
humans
and
bio-evolution,
Artificial
Intelligence
(AI)
has
seen
accelerated
growth
since
beginning
21st
century.
Successful
AI
applications
have
been
broadly
reported,
with
Industry
4.0
providing
a
thematic
platform
for
AI-related
research
development
in
manufacturing.
This
paper
highlights
manufacturing,
ranging
from
production
system
design
planning
to
process
modeling,
optimization,
quality
assurance,
maintenance,
automated
assembly
disassembly.
In
addition,
presents
an
overview
representative
manufacturing
problems
matching
solutions,
perspective
future
leverage
towards
realization
smart
Omega,
Год журнала:
2024,
Номер
127, С. 103081 - 103081
Опубликована: Март 29, 2024
Resilience
is
a
frequently
discussed
concept
in
the
context
of
supply
chains,
often
likened
to
an
immune
system
that
plays
vital
role
safeguarding
against
disruptions
and
facilitating
recovery.
Recognizing
gap
literature
for
constructs
encapsulate
chain
resilience
from
perspective,
this
article
introduces
conceptual
formal
models
drawing
molecular
biology
immunology.
Our
reflect
dual
nature
as
composition
preparedness
recovery,
interpreted
through
primary
components
systems—innate
adaptive
immunities.
We
discuss
how
certain
analogies
between
systems,
along
with
dissimilarities,
can
be
leveraged
enhance
resilience.
An
system-inspired
mechanism
proposed
using
combination
innate
responses
complemented
by
principles
diversity
redundancy.
Finally,
outlines
potential
research
areas
within
domain
(e.g.,
data-driven
analytics,
viability,
ripple
effect,
complexity
analysis,
uncertainty
modeling)
could
benefit
application
thereby
contributing
broadening
scope
current
scholarly
literature.
Journal of Functional Biomaterials,
Год журнала:
2025,
Номер
16(5), С. 158 - 158
Опубликована: Апрель 28, 2025
This
article
explores
the
transformative
advances
in
soft
machines,
where
biology,
materials
science,
and
engineering
have
converged.
We
discuss
remarkable
adaptability
versatility
of
whose
designs
draw
inspiration
from
nature’s
elegant
solutions.
From
intricate
movements
octopus
tentacles
to
resilience
an
elephant’s
trunk,
nature
provides
a
wealth
for
designing
robots
capable
navigating
complex
environments
with
grace
efficiency.
Central
this
advancement
is
ongoing
research
into
bioinspired
materials,
which
serve
as
building
blocks
creating
machines
lifelike
behaviors
adaptive
capabilities.
By
fostering
collaboration
innovation,
we
can
unlock
new
possibilities
shaping
future
seamlessly
integrate
interact
natural
world,
offering
solutions
humanity’s
most
pressing
challenges.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 4282 - 4300
Опубликована: Янв. 1, 2024
In
manufacturing,
biologicalisation
defines
the
analysis
of
biological
patterns
as
a
source
inspiration
to
model
intelligent
manufacturing
systems.
This
is
highly
desirable
an
answer
increasing
complexity
modeling
current
engineering
solutions
which
are
required
be
self-organized,
cooperative,
and
autonomous.
Building
on
this
line
research,
our
paper
introduces
framework
inspired
by
notion
"reciprocal
altruism"
observed
in
species
like
vampire
bats.
The
goal
twofold;
first,
showcase
bio-inspired
methodological
guidelines
altruism
context.
Second,
foster
cooperative
behaviors
among
its
constitutive
resources
(equipment,
machine,
or
robot
that
capable
autonomously
performing
task).
core
idea
revolves
around
assignment
two
roles:
altruistic/donors
recipients.
context,
individuals
willing
share
their
capabilities
with
those
need,
even
at
potential
cost
own
fitness.
We
believe
concept
has
versatile
applications
various
scenarios,
ranging
from
peer-to-peer
energy
sharing
mobile
robots
load
tool
sharing.
work,
we
instantiate
control
logic,
functionalities,
proof
altruistic
approach,
focusing
tool-sharing
illustrative
application.
Our
preliminary
results
demonstrate
improvement
when
comparing
approach
manual
one.
particularly
evident
considering
production
downtime
rate
fluctuations
caused
defects.
These
findings
underscore
tangible
benefits
can
offer
addressing
ongoing
challenges
smart
especially
terms
design.
CIRP journal of manufacturing science and technology,
Год журнала:
2024,
Номер
50, С. 104 - 112
Опубликована: Фев. 29, 2024
Short-term
automation
solutions
for
industrial
companies
have
potential
to
compensate
volatile
demand,
employee
turnover
or
shortages.
Current
are
either
not
available
at
short
notice
economically
unviable,
as
integration
in
existing
control
systems
and
machine
tools
would
be
necessary.
The
paper
proposes
a
cognitive
robotic
system
that
circumvents
this
problem
by
emulating
the
behaviour
of
operators
through
automated,
skills.
approach
uses
perception
system,
handling
skill
modules
skill-based
automate
an
brownfield
use
case
without
additional
interfaces
reduce
effort
minimum.
