DroneOS

An open-source framework for autonomous drone development

Open-source and built on PX4 and ROS 2. From simulation to real hardware.

DroneOS AI dispatch demo — autonomous fleet command in action

A C++ SDK and Python API that abstracts raw flight controller topics into high-level drone operations. AI dispatch demonstrated in simulation.

~10s
Incident to dispatch
~3s
AI decision time
~2.5s
Command execution over VPN

AI Fleet Dispatch

Autonomous emergency response — AI receives incidents, evaluates the fleet, selects the best drone, and dispatches it. Incident to airborne in ~10 seconds.

Cloud-to-Drone Control

Commands from anywhere over Tailscale VPN. Real-time telemetry, camera feeds, and fleet status streamed to the ground station via WebSocket.

Simulation-in-the-Loop

Full PX4 SITL environment with Gazebo. Test AI decision-making and fleet coordination in simulation before flying real hardware.

Roadmap

What we're building next at the intersection of AI, autonomy, and real-world drone systems.

Object Detection in Simulation

Connect camera feeds and object detection to the AI dispatch pipeline in Gazebo. Infrastructure exists — integration is next.

Modular Plugin Architecture

Restructure into swappable modules — flight stack adapters, perception backends, AI integrations.

4G Reliability for AI Dispatch

Validate the full AI dispatch loop over cellular on real hardware. Basic drone control works — AI dispatch hasn't been tested live.

Multi-Flight-Stack Support

Abstract beyond PX4 to support ArduPilot and other autopilot systems.