 So we're here at the Computex 2018 and hi, so who are you? Hi, my name is Ginger Zeng. I am an innovator in the ARM innovator program. And what are you showing here? Is this your project? Yeah, so this is actually a global standard for drone autopilot and it's based on the open source project drone code platform. So it's based on the open source drone system? Yep. And what are all these connectors that I see right here? So all these connectors, you can connect to different roles on a drone. So you can see right there that these are all the different drones you can, that this flight controller powers from multi copters to fixed wings to delta wings to vertical takeoff drones. So you can just buy some drones like a unique GoPro drone and all these drones? They all support the same connector? They all support the same common software platform, which is a drone code. Ah, they support the same software platform, but this is for building new drones? Yep, these are developer kits. These are developer kits for building new drone systems. And what's special about this idea to do it like this? So this actually runs on ARM Cortex M7 and it provides a low-cost option for developers. This is like only $200, less than $300. And so there's a Cortex M7 inside here? From which one? From ARM? An ARM one, yeah. And then you connect some, what is going on here? So here let me show you maybe something like that one. So what are you showing there? What is this, for example? Yeah, so those will be different one? Yep, those will be different connectors that connect to let's say power, which is the battery on the drone, you know, and then the different peripherals for different RC controllers and sensors. But what's the advantage of doing this with your solution? So it's a global platform, it's a global standard. And also by people working with the open source project, it gets them through the R&D process much faster. It's a common platform worth about a thousand different developers from around the globe all work on and contribute to so people can share knowledge and avoid, you know, making the same mistakes and, you know, then building these really complex drone systems. And so this is a different part than that. So this is less, we say $200, $300 than this? So these are done by different manufacturers. So the drone code puts out a reference design, you know, as a software platform for the hardware, and then different manufacturers, they can productize these in different forms. So which do you work on? Which do I work on? I work actually with all of them. I'm kind of like the ecosystem manager. So drone code? Yes. Is it, what's the name? Is it drone code? I work for a company called Arterian. Arterian, we enable the drone code platforms. Is it the best, the biggest open source drone system out there? Yes, in autonomous robots. Not just drones? Not just drones. Also, you know, under in the water, in the air, on the ground, like rovers, all powered by PX4, which is like the kernel of Linux to drone code. And how many drones out there? Millions of drones running this already? Yeah, probably, you know, like a problem. So it's going to be exciting, right, to see all these new robots coming out? Yeah, absolutely. And what might happen in the future with all these sensors and more advanced ARM chipsets that are coming out? Yeah. Like yesterday, Nvidia launched a new very high performance solution for robotics. Maybe your software could run on that. Yeah, absolutely. So one thing that's really exciting in the drone world is computer vision, which is, you know, so that drones can actually have the sense and avoid capability to avoid obstacles. Cool. Like he's trying to avoid obstacles right now over there? And again, let's say highly immersive experiments because you actually feel like you're in.