As you’re already aware, NVIDIA’s Jetson AGX Orin™ is rapidly emerging as a perfect ideal platform for building autonomous robotic systems – powered by edge AI. After all, this platform is unmatched in performance and efficiency as it gives you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology.
NVIDIA® Jetson Orin™ modules have up to 275 Trillion Operations per Second (TOPS) and 8X the performance of the last generation for multiple concurrent AI inference pipelines. Furthermore, they come with high-speed interface support for multiple sensors – making them the ideal solution for a new age of robotics.
In this blog, you’ll discover how to get started working with ROS2 Foxy on Nvidia Jetson AGX Orin for robotics applications.
You’ll also get to know how to work with an embedded camera in the ROS workspace.
We used the NileCAM81, an 8MP GMSL2 camera developed by e-con Systems, to demonstrate this application. It can stream high frame rate uncompressed video data of HD at 60 fps, FHD at 60 fps, and 8MP at 16 fps up to a distance of 15 meters with very low latency.