Tutorial: Building a Multimodal AI Robot Interface for Android Using Kotlin

A new developer tutorial published on DEV Community walks through building a Kotlin and Android component designed for robotics and Physical AI systems. The guide uses Jetpack Compose, ViewModel, and Flow to handle multimodal inputs — including text, image, and audio — processed through an AI backend. A key design principle separates the AI suggestion layer from a deterministic safety layer, ensuring AI-generated instructions cannot bypass physical robot controls. The tutorial also covers real-time telemetry handling, lifecycle-aware state management, and testing scenarios such as network loss, emergency stops, and high-frequency data streams. The resulting component is designed to be extensible with ROS 2 bridges, NVIDIA Jetson services, and other robotics backends while keeping hardware-specific code behind clean interfaces.