LLM Agent Framework for Autonomous UAV Swarm Control
A recent paper published on arXiv (2605.03788) introduces a versatile, agent-enhanced framework utilizing LLM for the control of UAV swarms. This innovative system permits users to articulate mission goals using natural language, which the LLM-based Agent Core autonomously carries out through grounded, real-time interactions. It features a Model Context Protocol (MCP) gateway alongside a Web-of-Drones abstraction that adheres to W3C Web of Things (WoT) standards. By standardizing drones, sensors, and services as WoT Things, the framework facilitates structured interactions, ongoing state monitoring, and safe actuation without the need for code generation. This method effectively tackles issues like diverse interfaces, limited grounding, and prolonged closed-loop execution in real-time UAV swarm operations.
Key facts
- arXiv paper number: 2605.03788
- Published on arXiv
- Proposes LLM-based Agent Core for UAV swarm control
- Uses Model Context Protocol (MCP) gateway
- Employs Web-of-Drones abstraction based on W3C Web of Things (WoT) standards
- Enables natural language mission input
- Supports autonomous real-time execution
- Avoids code generation for actuation
Entities
Institutions
- arXiv
- W3C