AURORA: A Natural Language-Driven Agentic Framework for Understanding, Reasoning, and Orchestrating Reliable Air-Ground Co-Simulation
A new framework, AURORA, is proposed for air-ground co-simulation in transportation research. It uses a natural language-driven approach and a typed intermediate representation to enable simulator-grounded parsing, joint road-airspace grounding, and runtime verification. This improves reliability and exposes silent failures in generated scenarios.
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