You might have caught the webinar. Or maybe you saw a six-person crowd gathered around it at Embedded World. Either way, the robot we are showing off is built around a Gateworks SBC, and it is not just a trade show gimmick. This is a working example of what happens when you combine rugged edge compute, real-time vision, precision positioning, and long-range wireless into a platform built for engineers.
At its heart is the NXP i.MX 8M Plus, providing enough performance to handle edge AI tasks like object recognition. GNSS data comes from a u-blox ZED-F9P module with PointPerfect RTK correction for centimetre-level accuracy. For connectivity, Morse Micro’s GW16159 delivers Wi-Fi HaLow, offering sub-GHz, long-range wireless that thrives in industrial settings where regular 2.4 GHz or 5 GHz links fall short.
The brains of the operation are running ROS 2 on Linux. This orchestrates sensor data from depth cameras and Lidar, performs mapping and motion planning, and sends commands via USB UART to a dedicated RTOS microcontroller handling motor control. The whole stack reflects real-world robotics and UAV control, with open-source components and modular software that engineers can replicate and scale.
It is a practical showcase of what you can build when you combine the right components, from the Gateworks SBC to NXP, u-blox, and Morse Micro. Whether you are developing autonomous vehicles, industrial robots, or mobile edge AI platforms, this is a system worth studying.
See the full breakdown in our video, or register for the full webinar to dive deeper into how this design came together.
Learn more about Gateworks here
Learn more about u-blox here
Learn more about NXP here
Learn more about Morse Micro here
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