Agentic AI Meets Edge Computing in Autonomous UAV Swarms
The integration of agentic AI, powered by large language models (LLMs) with autonomous reasoning, planning, and execution, into unmanned aerial vehicle (UAV) swarms opens new operational possibilities and brings the vision of the Internet of Drones closer to reality. However, infrastructure constraints, dynamic environments, and the computational demands of multi-agent coordination limit real-world deployment in high-risk scenarios such as wildfires and disaster response.
Evidence notes
- Experiments use Skydio X10 as the physical evaluation platform.
- The evaluation connects the reported method to Skydio X10 hardware in perception and planning tasks.
Company context
Skydio develops autonomous drones and supporting software for public safety, defence, inspection and enterprise operations. Its autonomy stack is designed to let drones navigate complex environments with reduced pilot burden.