SOURCE-LINKED INTELLIGENCE
AgenticSwarm: Semantic Perception and Adaptive Task Allocation for Heterogeneous Multi-UAV Missions
Multi UAV missions in complex environments require the system to understand both the surrounding scene and the intent of a human operator while maintaining feasible task allocation as mission conditions change. This paper presents AgenticSwarm, an agentic framework for semantic perception and adaptive task allocation in heterogeneous multi UAV missions. An agent interprets aerial imagery and natural language instructions to construct a grounded mission representation that links perceived objects and regions with task requirements, capability constraints, and mission dependencies. This informat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T12:51:57.000Z
First collected: 2026-09-23T13:51:27.104Z. This is not the publication date.