Open-source MAVLink fleet operations platform for PX4 drones, SITL, drone shows, SAR, and cooperative autonomy.

Drone 2D path planning, object detection and objects geo-localization for search and rescue applications.

基于MAVSDK的无人机地面站

GPS-Denied Indoor Navigation System for Drones Autonomous drone navigation indoors without GPS using optical flow, IMU, and lidar sensor fusion. Features real-time SLAM, obstacle avoidance, and waypoint missions. Built with PX4/ArduPilot, ROS2, and MAVSDK-Python on Raspberry Pi.

A general perpose simulation app which is powered by Godot, MAVSDK and ROS2 for robotics applications.

Base controller, exposing ROS2 interface to MAVSDK to control drone in local flight

PX4 Drone chases a Banana in Python

Code for the book Engineering UAS Applications Sensor Fusion Machine Vision and Mission Management by Jesus Garcia, José M. Molina, Daniel Amigo, Juan Pedro Llerena and David Sánchez Pedroche

Modern drone control station

Codebase for the DroneVisionControl application developed for my thesis for the Aerospace Enginnering bachelor, Universidad Rey Juan Carlos

Isaac Sim Drone Programming with PX4 + ROS2

Streaming telemetry data from drone to ground control station using MAVLink (and more specifically MAVSDK).

Drone Tracking in Simulation with YOLO11 and MAVSDK

Human-gated autonomy for real-world operations. Deterministic logic. Predictive insight. Auditable control.

High-performance RTSP player for Android with ultra-low latency, hardware decoding, modern Android support, and telemetry-ready architecture. Optimized for IP cameras, surveillance, and real-time video streaming.

This application uses Mavsdk to follow other planes and do some other tasks such as getting telemetry data, landing/taking off, arming and offsetting the plane based on global coordinates

Vision-based autonomous precision landing system for multi-rotors using PX4, ROS2, Gazebo and MAVSDK with ArUco marker detection and OFFBOARD control.

aerpawlib is AERPAW's vehicle control library

This project implements a high-precision autonomous landing system for drones, based on computer vision (ArUco markers) and MAVLink protocol.

Recruitment algorithm for drone swarms based on Stigmergy (bio-inspired behavior)