{
  "id": 9826634,
  "title": "Optimizing ROS 2 Communication from Android Kotlin",
  "url": "https://urgent.news/2026/09/25/optimizing-ros-2-communication-from-android-kotlin",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-25T20:21:17.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/vmodal_ai/optimizing-ros-2-communication-from-android-kotlin-1f58"
  },
  "original_language": "en",
  "account": null,
  "summary": "This article provides a step-by-step guide on how to create a Kotlin-based architecture for optimizing ROS 2 communication in Android applications, specifically for robotics, XR, AI, or edge-AI systems. The tutorial covers creating a data model, implementing lifecycle-aware state using ViewModel and StateFlow, moving expensive work off the main thread, collecting state in Jetpack Compose, and adding bounded real-time processing to handle high-rate streams and prevent queue overflow. By following these steps, developers can build a robust and efficient communication layer for their projects, ensuring smooth performance and independent measurement of delays at various stages.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}