KR (KumarRobotics) autonomous flight system for GPS-denied quadrotors

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.

A lightweight Navigation stack for the drone

Autonomous Indoor Drone with Simulation and Hardware-Setup using ROS and SLAM

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.

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

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.

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

Uses a downward facing camera to see a landing target, and guides the drone to land there. This node will consume and leverage topics with the Xeni drone nodes.

Quadrotor design and control

A behaviour tree based flight control node. Specify the drone mission in an XML file, and start the node.

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

ARAV is an Autonomous Robotic Aerial Vehicle developed by Alberto Ceballos and Joan Bessa at ISAE-SUPAERO.

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

Redbird Robotic's flagship autonomous aerial drone

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.

Real-time flight control software enabling autonomous capabilities for the RC MH-EmberEye UAV. Built on STM32F446RE & FreeRTOS with C++ architecture, featuring a Hardware-in-the-Loop (HIL) testing pipeline

Decentralized 3D Multi-Layer Mobility Infrastructure refactoring the urban OS for the next generation.

The future of aviation is here! Supersonic flights in 3 hours, electric & hydrogen aircraft, flying taxis, vertiports, space tourism, and the end of kerosene. Aviation 2040 — welcome to the skies of tomorrow.