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UAV-SwarmAgent: Multi-UAV reconnaissance and task allocation via code generation and vision-language reasoning

UAV-SwarmAgent is a hierarchical multi-agent system in which an operator issues a mission in one natural-language sentence, and a ground-station agent generates and executes code that turns it into routes for each UAV. The system uses a vision-language model to locate inspection targets on an aerial map, balances them among N UAVs by route length, and then worker agents equipped with lightweight decision models verify incidents.

Part of the event: UAV-SwarmAgent: Generating Multi-UAV Reconnaissance Routes from a Single Sentence

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