Agentic AI for UAV

Unmanned aerial vehicles (UAVs) are evolving from remotely piloted platforms into autonomous agents capable of perception, reasoning, and cooperative decision-making. This project builds agentic AI systems—grounded in large language models, tool use, and multi-agent planning—that allow UAVs to interpret high-level mission intent, adapt to unforeseen conditions, and coordinate with other aerial and ground agents with minimal human supervision.