AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK
Kautuk Astu, Yogesh Simmhan

TL;DR
AeroGen leverages structured prompting and a specialized SDK to enable reliable, constraint-aware drone control programs generated by LLMs, improving safety and robustness across diverse navigation tasks.
Contribution
The paper introduces AeroGen, a novel framework that integrates structured guardrail prompts with a drone SDK to produce correct, constraint-aware drone control code from LLMs.
Findings
AeroGen generates about 40 lines of code in 20 seconds per mission.
Structured prompting improves robustness and correctness of LLM-generated drone programs.
AeroGen performs well across urban, farm, and inspection environments.
Abstract
Designing correct UAV autonomy programs is challenging due to joint navigation, sensing and analytics requirements. While LLMs can generate code, their reliability for safety-critical UAVs remains uncertain. This paper presents AeroGen, an open-loop framework that enables consistently correct single-shot AI-generated drone control programs through structured guardrail prompting and integration with the AeroDaaS drone SDK. AeroGen encodes API descriptions, flight constraints and operational world rules directly into the system context prompt, enabling generic LLMs to produce constraint-aware code from user prompts, with minimal example code. We evaluate AeroGen across a diverse benchmark of 20 navigation tasks and 5 drone missions on urban, farm and inspection environments, using both imperative and declarative user prompts. AeroGen generates about 40 lines of AeroDaaS Python code in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · Air Traffic Management and Optimization · Robotics and Sensor-Based Localization
