<p>Developing
aerial
robots
that
can
both
safely
navigate
and
execute
assigned
mission
without
any
human
intervention
–
i.e.,
fully
autonomous
mobility
of
passengers
goods
is
the
larger
vision
guides
research,
design,
development
efforts
in
autonomy
space.
However,
it
highly
challenging
to
concurrently
operationalize
all
types
vehicles
are
operating
autonomously
sharing
airspace.
Full
transportation
sector
includes
several
aspects,
such
as
design
technology
powers
vehicles,
operations
multi-agent
fleets,
process
certification
meets
stringent
safety
requirements
aviation
sector.
Thereby,
Autonomous
Advanced
Aerial
Mobility
still
a
vague
term
its
consequences
for
researchers
professionals
ambiguous.
To
address
this
gap,
we
present
comprehensive
perspective
on
emerging
field
advanced
mobility,
which
involves
use
unmanned
(UAVs)
electric
vertical
takeoff
landing
(eVTOL)
aircraft
various
applications,
urban
air
package
delivery,
surveillance.
The
article
proposes
scalable
extensible
framework
consisting
four
main
blocks:
sensing,
perception,
planning,
controls.
Furthermore,
discusses
challenges
opportunities
fleet
management,
well
testing,
validation,
aspects
systems.
Finally,
explores
potential
monolithic
models
analyzes
their
advantages
limitations.
aims
provide
holistic
picture
future
directions.</p>
WiFi
is
a
ubiquitous
protocol,
but
exhibits
flaws
that
become
particularly
critical
for
teams
of
robots
in
human
environments.
We
demonstrate
our
Time-Triggered
(TTWiFi)
protocol
allows
us
to
utilise
the
benefits
hardware
available
mobile
robotic
systems
while
ensuring
resilience
and
bounded
error
detection
time
domain
as
required
by
make
reliable
real-time
decisions.
Our
experiments
TTWiFi
performs
equally
well
static
scenarios
retaining
its
interference.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 85 - 114
Опубликована: Дек. 13, 2024
This
chapter
presents
an
in-depth
analysis
of
the
transformative
role
artificial
intelligence
(AI)
in
fields
industrial
robotics
and
drone
technology,
offering
a
comprehensive
overview
integration
evolution
these
technologies.
Beginning
with
historical
perspective,
study
traces
development
drones
within
contexts,
laying
foundation
for
understanding
significant
impact
AI.
The
reveals
how
advent
AI
has
revolutionized
technologies,
shifting
from
basic
mechanization
to
advanced,
intelligent
systems
capable
complex
tasks,
decision-making.
explores
progression
initial
applications
current
state-of-the-art
implementations,
demonstrating
profound
changes
efficiency,
capability,
functionality.
By
examining
interplay
between
AI,
robotics,
drones,
provides
insights
into
future
trajectory
technologies
their
potential
redefine
processes.
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 11, 2023
IFR
forecasts
and
the
conducted
literature
analysis
prove
that
part
of
research
should
be
focused
on
adapting
companion
robot
to
moving
around
in
open
space
external
conditions.
There
is
a
visible
interest
use
robotic
devices
care
assistance
elderly
or
disabled
people.
However,
environment
still
contains
many
obstacles
barriers.
According
authors,
solution
some
problems
related
movement
outdoor
conditions
would
communicate
with
road
infrastructure,
inter
alia,
via
IoRT
(Internet
Robotic
Things).
This
why
purpose
this
article
present
concept
communication
infrastructure.
<p>Developing
aerial
robots
that
can
both
safely
navigate
and
execute
assigned
mission
without
any
human
intervention
–
i.e.,
fully
autonomous
mobility
of
passengers
goods
is
the
larger
vision
guides
research,
design,
development
efforts
in
autonomy
space.
However,
it
highly
challenging
to
concurrently
operationalize
all
types
vehicles
are
operating
autonomously
sharing
airspace.
Full
transportation
sector
includes
several
aspects,
such
as
design
technology
powers
vehicles,
operations
multi-agent
fleets,
process
certification
meets
stringent
safety
requirements
aviation
sector.
Thereby,
Autonomous
Advanced
Aerial
Mobility
still
a
vague
term
its
consequences
for
researchers
professionals
ambiguous.
To
address
this
gap,
we
present
comprehensive
perspective
on
emerging
field
advanced
mobility,
which
involves
use
unmanned
(UAVs)
electric
vertical
takeoff
landing
(eVTOL)
aircraft
various
applications,
urban
air
package
delivery,
surveillance.
The
article
proposes
scalable
extensible
framework
consisting
four
main
blocks:
sensing,
perception,
planning,
controls.
Furthermore,
discusses
challenges
opportunities
fleet
management,
well
testing,
validation,
aspects
systems.
Finally,
explores
potential
monolithic
models
analyzes
their
advantages
limitations.
aims
provide
holistic
picture
future
directions.</p>
