PX4 Autopilot

The PX4 Autonomy Developer Kit offers everything you need for autonomous navigation development. Featuring support for the latest stable release of PX4, advanced cameras, a PX4 integrated flight controller, and an open SDK, this platform developed by ModalAI in collaboration with Dronecode marries the power of open source with out-of-the-box functionality. Join James Strawson, Director of Software at ModalAI, in this video to explore the breakout capabilities and features that make this drone a powerhouse for developers. https://lnkd.in/es3YWUqJ #opensource #dronedevelopment #PX4

📰 Big news! Dronecode proudly welcomes ZeroOne as a Silver member! 🎆 ZeroOne's commitment to open-source solutions and their innovative approach will help shape the future of open source drone technology. Stay tuned for exciting developments! https://hubs.la/Q02JDMgp0

I developed a Real-Time Obstacle Avoidance Algorithm for UAVs, utilizing the ModalAI Voxl 2 Sentinel Drone, equipped with the PX4 Autopilot and an Intel Realsense D435i camera for enviornment perception. The detected object positions were set as constraints in a nonlinear programming based path planning algorithm, enabling the UAV to autonomously generate safe flight paths with a defined distance threshold around obstacles. To ensure a continuous trajectory, reference velocities and accelerations are calculated at each waypoint. By considering room dimensions and drone dynamics as constraints in the optimization problem, we achieved reliable and accurate navigation, allowing the drone to reach its designated destination safely. As demonstrated, in the absence of obstacles the trajectory planner generates an optimal straight-line trajectory in real-time. When an obstacle is introduced, the drone dynamically adjusts its path, executing a smooth curve around the obstacle to reach the designated waypoint on the opposite side. Project link: https://lnkd.in/evrp43z8 Paper link: https://lnkd.in/eiTb6qbD Suriya Suresh Joseph Conroy

In this tutorial, we demonstrate how to utilize custom modes in PX4 Autopilot using ROS2 and QGroundControl (QGC). We provide you with a basic example code that you can customize and use for your application. Timestamps 00:00 - Intro 00:36 - Git Walkthrough 08:08 - Simulation 11:13 - Code Walkthrough 21:50 - Summary Resources: Git Repository: PX4 ROS2 Examples Workspace (Custom Mode) https://lnkd.in/g-jhWvBa If you're interested in US-manufactured drone hardware, please visit our website: https://arkelectron.com #opensource #uav #uas #drone #drones #ROS #ROS2

Apoorv Thapliyal and I developed a Real-Time Obstacle Avoidance Algorithm for UAVs using the ModalAI Voxl 2 Sentinel Drone. Integrated with the PX4 Autopilot stack and Intel Realsense D435i for environment perception, our system detects obstacles and incorporates their positions into a nonlinear programming-based path planning algorithm. This allows the UAV to autonomously generate safe flight paths, maintaining a defined distance from obstacles. To ensure continuous trajectory, we calculate reference velocities and accelerations at each waypoint. By incorporating room dimensions and drone dynamics as constraints in our optimization approach, we achieve reliable and precise navigation, enabling the drone to safely reach its destination. Our trajectory planner dynamically adjusts paths when obstacles are detected, smoothly navigating around them to ensure the UAV reaches its designated waypoints efficiently. The GitHub repository can be found here : https://lnkd.in/gXp5gDTe The report can be found here: https://lnkd.in/g2FYBVsQ I would like to thank Joseph Conroy for his guidance and for providing us with the opportunity to work on this project. I would also like to thank my friends and classmates for their help. Finally, I am grateful to the Maryland Robotics Center for providing us with facilities and lab space.

🚀 Exciting news! Dronecode welcomes Neros Technologies as a Silver member! 🎉 This partnership will strengthen the open-source drone ecosystem and drive innovation in the industry. We can't wait to see the contributions NEROS will bring to our community! 🤝 https://hubs.la/Q02HGKmZ0

Introducing the DEXI drone, a powerhouse PX4 Developer Kit made from an amazing collaboration with ARK Electronics, DroneBlocks, and Momentum Drones. Find out more about this STEM machine in this interview with Alex Klimaj and Bill Doyle https://hubs.la/Q02HjpTD0

I'm thrilled to share the latest update from the PX4 Autopilot YouTube page! Recently, Ramón Roche from the Dronecode Foundation, teamed up with Alex Klimaj and Bill Doyle at AUVSI — Association for Uncrewed Vehicle Systems International to introduce an exciting new product: the DroneBlocks DEXI PX4 Developer Kit. This innovative, solder-free drone kit is the result of a collaborative effort between DroneBlocks, ARK Electronics, and Momentum Drones aimed at revolutionizing drone education and development. https://lnkd.in/eA5fF7KB #STEM #EdTech #Drones #PX4 #NDAA

Pixhawk 6x Pro is now back in stock! 🚀 Product Link: https://lnkd.in/gwBDmX2j

Here is a quick demo of YOLO V8 running on the NVIDIA Robotics Jetson Orin Nano with Jetpack 6. Installed in the ARK Jetson PAB Carrier on the Momentum Drones Dev 7 airframe. Thanks to Patrik Dominik Pördi for getting this running. Next steps will be a follow me demo with ROS 2 and PX4 Autopilot. #drone #drones #opensource #yolo #computervision #uav #uas