Fine-Tuning Large Language Models for Cooperative Tactical Deconfliction of Small Unmanned Aerial Systems
Published in The 3rd Workshop on Multi-Agent Embodied Intelligent Systems Meet Agentic-AI era: Opportunities, Challenges and Futures (MEIS@CVPR 2026), 2026
✅ Accepted
This paper presents a simulation-to-language data generation pipeline using BlueSky ATM for fine-tuning Large Language Models on cooperative tactical deconfliction of small UAS, achieving improved decision accuracy and reduced near mid-air collisions through parameter-efficient fine-tuning (LoRA, GRPO).
This manuscript is accepted for poster presentation at MEIS CVPR 2026 Workshop.