Tutorial: Build a Person-Following Robot Using Jetson, YOLO, and ROS 2

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A new developer tutorial outlines how to build a person-following robot pipeline using NVIDIA Jetson hardware, the YOLO object detection model, and the ROS 2 robotics framework. The guide walks through setting up a development workspace, configuring ROS 2 nodes, and creating a camera-based detection and tracking system that issues velocity commands to the robot. Safety zones and stop conditions are built into the pipeline to prevent perception failures from triggering unintended movement. The tutorial also covers connecting the robot system to a Flutter-based operator application via a secure gateway rather than exposing the ROS graph directly. Developers are expected to have basic Linux, Python or C++, and ROS 2 knowledge, along with compatible NVIDIA Jetson hardware running a supported JetPack release.

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