Tutorial: How to Build a Vision-Language Robot Using NVIDIA Jetson and ROS 2

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A new developer tutorial published on DEV Community outlines how to build a vision-language robot pipeline using NVIDIA Jetson hardware and ROS 2. The system works by capturing a visual scene, extracting structured information, combining it with user instructions, and generating a validated task plan for robot execution. The guide covers setting up a ROS 2 workspace, creating Python or C++ packages, and designing a layered architecture that separates sensors, perception, decision logic, and motor control. It also describes how a Flutter-based operator app can communicate with the robot securely through a gateway rather than directly accessing the ROS graph. Prerequisites include an NVIDIA Jetson developer kit, basic Linux and Python or C++ knowledge, and familiarity with core ROS 2 concepts.

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