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Tutorial: How to Build a Voice-Controlled Robot Using Jetson, ROS 2 and AI

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A new developer tutorial published on DEV Community outlines how to build a voice-command architecture for robots using NVIDIA Jetson hardware, ROS 2, and AI-based speech processing. The pipeline routes audio input through speech-to-text, intent extraction, and safety validation before issuing motor commands, deliberately keeping the language model away from direct hardware control. Developers need an NVIDIA Jetson kit, a Linux environment, and basic knowledge of Python or C++ and ROS 2 concepts to follow along. The guide covers workspace setup, package creation, publisher-subscriber testing, and a layered architecture separating sensors, perception, decision logic, and motor control. It also describes how a Flutter-based operator app can connect to the robot securely via a gateway rather than exposing the ROS graph directly to the internet.

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