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How to Build a Kotlin Android Voice Assistant for AI Robotics Systems

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A new developer tutorial on DEV Community walks through building a voice assistant component for Android-based robotics using Kotlin and Jetpack Compose. The architecture connects Android's speech recognition to a backend stack that includes ROS 2, NVIDIA Jetson, and AI services via a layered ViewModel and Repository pattern. A key design principle is that voice or LLM output must never directly control motors; all commands are first validated and passed through a deterministic safety layer. The guide also recommends keeping CPU-intensive tasks off the main thread, using bounded buffers for high-rate telemetry, and maintaining emergency controls independent of data streams. The resulting component is designed to be extensible with computer vision models, smart-glasses SDKs, and multimodal AI backends while keeping hardware-specific code behind interfaces.

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