mavsdk

Open-source MAVLink fleet operations for PX4: SITL, drone shows, search and rescue, cooperative autonomy, and field validation

Computer vision, object tracking, and target following for PX4 drones using OpenCV, YOLO, MAVSDK, MAVLink, and a real-time web dashboard

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

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.

基于MAVSDK的无人机地面站

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

MCP-based AI interface for structured, simulation-first PX4 and robotic fleet workflows with deterministic safety checks

Distributed UAV Swarm Built on MAVSDK for PX4 Drones

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

A split-compute autonomous UAV system for GPS-denied terrain surveying, boustrophedon coverage, visual landmark detection, and edge-AI inference using Jetson, MAVLink, GStreamer, OpenCV, and TensorRT.

Open-source, self-hosted command and control for fleets of unmanned vehicles and trackers, in your browser. Live web console for real or simulated MAVLink vehicles (PX4, ArduPilot): fleet map, telemetry, commands, missions.

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

PX4 Drone chases a Banana in Python

Modern drone control station

Modern .NET 10 MAVLink v2 library for PX4 — strongly-typed, allocation-light, code-generated from dialect XML.

An asynchronous, neuro-symbolic VLA (Vision-Language-Action) orchestration stack for edge autonomy. Fuses probabilistic Qwen2-VL visual reasoning and faster-whisper ASR with deterministic PX4/MAVSDK flight-control loops and HSV color guardrails.

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

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

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

Vendor-neutral UAV capability layer + MCP server: connect AI agents to MAVLink drones (PX4/ArduPilot) via MAVSDK. Safety guardrails, simulation-first.