Langostino - An open-source autonomous drone platform using ROS2 and AI-powered flight control. A complete reference implementation for building, understanding, and extending real-world drone autonomy.

Autonomous UAV navigation system featuring real-time 2.5D occupancy-grid mapping, A* global path planning, and depth + LiDAR sensor fusion for dynamic obstacle avoidance in complex urban environments. Fully integrated with ROS 2, PX4 Offboard control, and Gazebo simulation for high-fidelity testing and deployment.

This repository contains Python codes running on a Raspberry Pi 4 which is used as an on-board computer of an UAV. The codes are highly rely on DroneKit and OpenCV libraries.

Python sample codes and documents about Autonomous Quadrotors algorithms. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

ROS2 Humble + MAVROS + ArduPilot integration framework. Test in SITL simulation, deploy to real hardware (Cube Orange, Pixhawk). Flight-tested on Raspberry Pi 4.

A detailed repository with step-by-step instructions on implementing an autonomous UAV: All algorithms can be simulated on the px4 SITL simulator using ROS based Gazebo Simulator

International UAV Competition Mission Software – Autonomous Fixed-Wing UAV Controller & Payload Delivery

Redbird Robotic's flagship autonomous aerial drone

Embedded software and autonomous control logic for the Eflatun UAV team projects.

In this project, I applied 3D Notion Planning techniques to implement a drone agent capable of plan and execute missions in a complex urban environment.

How to control a drone with code in simulated environment

Simplified aircraft approach and landing simulation based on 3-DOF point-mass dynamics and ILS-like guidance laws, intended for education and research prototyping.

This project is my"Hello, world!" of drone programming. I wrote event-driven code that gets a simulated quadrotor to take off, fly in a square of specified waypoints and land.