arXiv (All)
open access
ARIA - An Agentic Framework for Autonomous Testing of Infotainment Systems
Automotive infotainment validation still relies on manual testing, slow, costly, and incompatible with agile releases and OTA updates. Scripted automation only partly helps: it couples test logic to implementation, yielding brittle, high-maintenance suites. Existing LLM-driven frameworks mostly targ
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ARIA - An Agentic Framework for Autonomous Testing of Infotainment Systems#660881
- Drive the Thoughts: Runtime Monitoring of VLA Reasoning-Trajectory Consistency#622616
- Automatic multimodal UX improvement recommendations from LLM agent user simulations#1048366
- Learning Simple Test-Time Environments for LLM Web Agents#794110
- Learning Simple Test-Time Environments for LLM Web Agents#790091
Record · ID 971571
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive