Okay, everybody, and Pierre Concierge, I've been on to Adipler team, and so I will
put on to how you can make an advanced integration of Adipler with some examples.
So, yep, slides.
So, first up with me, a summer with the engineer, I've worked mostly with a small company
doing mobile robots over the years.
So, currently I'm working with a French company called IcePreads as a sponsor of my venues
there.
So, we are making an autonomous robot to cut the tomato plant leaf, so we got robot arms
there in action.
It's quite difficult to digest, but it's like very fun.
So, let's speak with a subject, Adipler, you may have other butters, we have very famous
in the drone world.
So, Adipler is an Adipler system for micro vehicle, so all kind of
micro vehicle is not restricted to flying drone, we make rovers, we make submarine,
we make bots.
It's quite versatile, I make a presentation last year on the full capability of Adipler.
Look at our budget, look online, what we can do, so we focus on advanced
integration.
So, why is this?
Because we got a lot of people saying like, Adipler is another person
who has a project of pencil project, it works on the micro, mostly on micro controllers,
it doesn't have a jet zone, it doesn't have AI, it doesn't have loss.
So, it's not sweet for real products, we cannot do anything with this beside some
high-kings, and I want to refer for sure, and we will prove that you are wrong.
And, let me show you some example of Adipler integration.
So, we got some really nice platform of the year, so I make a small selection.
So, this cutter is not traditional cutter, if you want a multi-cutter,
normally you don't need to tilt to move into direction, and you can go up and
down.
This one got sweet degree of freedom, so we can go anywhere once, because he got
stressed in sixth direction, so it's very nice platform, I will speed up a bit
because I don't have much time to deploy this.
We got sweet with an on-system, so this is from an Irish company that is doing
dron delivery, with Adipler, so they got like sweet Adipler's voting, which one
is in control of the dron, it's to mitigate any error, you can have in the car,
on in the hardware, it's working in production.
We can, just because we can cutters, it's up and in it.
So, just to demonstrate how much model we can put on Adipler, so
Saturday to return is working.
You don't need the AI or machine learning to make this work, just need to
figure out how to cable everything up to a single micro controller, so it's not
an easy test, but it's fly.
We got undergrown the sighting rovers, so if you don't want to use electrical
model, you can use a wind to push a rover, and it's a really nice frame,
got a gasibosimation for this, it's working fine with Adipler, and the last one I
want to showcase is this one, so it's a replicates of the F33 plane, so it's not
this one, it's not Ahmed, but it got transvectoring.
If you love plane, look at it flying in three nights, nice platform.
So, what's the common point on all those platform, I show you,
I'll use Adipler with a single micro controller, so it's very simple,
but it's integration, it boosts the limits, because we can do this with
like open software and just micro controller.
So, if you want to make a nice run, like a magic drone from DJI, if you
take, if you want to build a drone with Adipler, you will, you will
end up with all these hardware, with a lot of cable, lot of wire, you
need to figure out how to stick everything into a single frame that
should look like this, so it's quite difficult task, and yeah, we know
it's on Adipler, but we try to push the limit and give you all the
tool you need to make this simpler.
So, of course, if you got a lot of money like mana, you can
develop all of this system and put lots of engineer to make
nice boards, but it's not accessible for everybody, so.
How can we make this better on Adipler tool?
So, yeah, let's speak about Ross.
We support Ross, we support Ross too, we support DJI's
directly on Ross, on Adipler, we want to make
Zinoa integration, and all of those other Pokémon we speak about todays,
but yeah, you probably don't need this if you want just a drone
with a camera flying automatically.
So, last year we managed something interesting on the
drone world, we managed sell modems support, so you can
have 4G directly on your microcontroller, you don't need
the Linux system to get internet on your drone, you can just
get more than into your flight controller, if you work
directly, you can do clever things with this, like
regular injection, get connection with the VPN, anything
is working quite fine.
And, of course, we got also TCPAP support now, so you can use
your microcontroller into HTTP network and internet network with
TCP, UDP, whatever you want, we got new hardware to
feed everything, if you got some old boards.
So, this help a lot for new integration, and we will
show you why. So, if you want to make a
Mavic drone with the other pilots, so you should start with
something like this one, that is a mess of like you
plug all the components together, and we want to get this one,
it's on its table too. So, it's much nicer, great
integration, and I will show you what is inside.
So, that's also material that are inside, so it's quite
classical on the drone world, we've got an auto pilots,
we got a reservoir pipe to get Linux, we got a
4G modem, camera system, optical flow, front lidar,
don't lidar, BMS for battery monitoring, and this one
got a 3D frame, 2D printed frame, and it fail, as you
see, we got on its three arm. So, with a bit of vision
magic, you need a PCB board, so you need to spend a
better money on PCB board, because if you want to make
great robotics, you need to make great electronics, so
make your frame match your electronics, because you also
wire won't, so match your electronic match your frame,
because it will save you a lot of time on the
beginning, and on issues that kind of thing with wire.
So, this board will be probably sold in the near
future, but yeah, that's what we got in the right
drone, on the software points, nothing fancy, we
got M32 for the motor control, so it's using drone
cannon control, cannon protocol to control the motor,
we got the pilot obviously to control the drone, and
over it, we use something that's called blue OS, so
yet another operating system in robotics,
I will present it briefly, and you can see there's no
noise in it, so blue OS is, it's kind of, it's
not an operating system, oh, we don't see, it's
explanation, so it's pushed by robotics that is
making the blue rove, then you may not, so it's a
Docker management engine with the web UI, and as
it's using Docker, you can make a lot of plugin and
extension to make like everything you want on your drone,
so on this we got by default, you got mapping
routine, you got telemetry, firmware,
management, you got video management, everything you
want, everything you need as basis on a drone is
already included in blue OS, so we can extend a lot
the capacity of a drone, of course, it's working with
other pilots, it should be working with speaks for
if you want, because it's just like mapping protocol,
so in the right one, what we got inside, so we are
using blue OS to add new capability to our
pilots, so we developed some plugin to get like VPN
extension, so with VPN, we got a sicker link to the
drone, so the drone got access to internet, so we
can access sicker access to the cloud, you can
automatically upload your video, you picture like
any commercial drone, so that's really cool, you
just like a Docker plugin, we got a video
management with three things, so you can
stream on YouTube if you want, everything's already
ready, we got entry and point management, if you
want to use RTK injection into your GPS to get better
positioning, and so Raman and Benjamin
present how to make a precision landing with
Ross and Pix4 and for the pilot, you don't
need Ross, just some contests with a few lines
in Python, just to do the same, so we got to
do this one, this is free, we got video
working, so it's interesting, it's using the main
camera to do optical flow when you are in flight, so
you don't need some dedicated hardware to make optical
flow and get some speed estimation for your
drone, you can use the main camera feed to do this,
and because we got a tight integration and the
content management, and I got no time to make it
so I put a link with the drone flying because
this one won't fly, and you can see all the
capabilities and all the things I speak of online,
I put some docs for Lewis, it's a really interesting
project, if you are working on the drone as a
flying navigating or driving, and for the pilots,
there is some link for the project if you are
working on what you are doing.