foreign
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I've been working in engineering
industrial spaces for over 25 years
my team of experts covers Electronics
computer science telecommunications
system engineering and Robotics
what if we could predict failure
harness it to minimize its impact
improve the technology processes and
training Automotive crash tests using
dummies are some of the first
simulations devised to improve safety if
we look back we see how the digital
Revolution changed everything in the age
of the digital twin simulations are
created in the digital world not the
physical now millions of miles of
driving are simulated in the production
of autonomous vehicles they are fully
immersive Sensory Learning environments
for machine learning to video games
to smartphones
Smart Homes smart cities today real-time
3D and simulation tools allow us to
restrict failure to Virtual testing
environments and keep it out of the
rear-world Vehicles facilities and job
sites
I'm going to explain how my team used
Unity to create a hitchless towing
system to make it safer and easier to
move heavy equipment this robot is an
excavator that has autonomy and
collision avoidance
the first thing we need to do is build a
virtual environment where our robot can
run around and learn how to operate in
this case the environment has a digital
twin what is a digital twin the digital
twin is the core environment by which
we're able to program and train a robot
to execute a behavior we give the
digital twin as much data as we can
about Locale and now it's operational
and behaving according to the laws of
physics you can design build test deploy
and operate very complex systems in
interactive and immersive ways in our
digital twin is as perfect effect simile
of the real world as we can make
by connecting the digital twin with real
world data it becomes an incredibly
powerful tool it will be very easy to
pinpoint and track objects but we need
to collect real information first and
correlate it we start by creating a
digital representation of our
environment
we can create a digital twin in a number
of ways we can create a digital model
where designer hand draws every element
we can scan the environment using
technology like photogrammetry using a
drone mounted camera or we can use lidar
which produces an incredibly accurate
representation of the environment and
depending on the type of lidar can keep
our digital twin up to date in real time
constantly scanning for changes in the
environment for our twin we want to
include elements like weather and
lighting because those are real world
environmental conditions that the robot
will be exposed to the creation of the
virtual sensor that has the analog of
the physical sensor is incredibly
important it's one thing that uni does
very well with its simulation technology
through that Innovation we are able then
to allow a robot to see a virtual world
in exactly the same way to see a
physical world
now that we've built a digital twin of
our environment we can place our robot
in that environment and start to program
it to operate in the manner that we want
we have to build an identification
system for this robot to transverse this
digital environment so we show at a
trail to follow we want our heavy
equipment to follow the path of a lead
vehicle driven by a person therefore
we'll use a high Precision GPS attach
the vehicle to generate a breadcom path
for equipment to follow we can generate
the path using any one of several
methods like a digital twin in
conjunction with real-time 3D technology
or a human operator can manually
generate the path for a robot to follow
now our robot knows where it is in our
digital representation of the world and
where it's supposed to go now has to get
there safely and avoid running into
obstacles and structures it has to see
the world it's operating in and learn to
avoid obstacles and adapt its path for
this task we use machine learning where
the robot learns the right behaviors
through trial and error operating in our
digital twin just like we learned from
Crash Test Dummies of old but virtually
and much faster
the robot now sees the digital world
through a virtual sensor that behaves
just like the real one it will fail a
lot millions and millions of times but
with each failure it learns what works
and what doesn't over many attempts It
ultimately learns how to complete the
task we've set out for it so we've given
a digital twin of its location that is
the knowledge of the physical world
sensors to experience the real world and
machine learning algorithms to process
all that information now we have a smart
robot that just happens to be an
excavator so what's next
you can use digital twins with both
static and dynamic data to optimize
operations across countless applications
such as improve transport Logistics
increase safety
reduce environmental impacts conduct
inspections and field maintenance on
energy sites improve airport security
and resource planning we're now on the
threshold of the fourth Industrial
Revolution a digital transformation of
the way we work the way we live how we
manufacture goods and build our cities
how we harness energy and maintain our
infrastructures the best way to predict
the future
is to design it
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