Robotics and Simulation

Precision Landing with PX4 and ROS 2 using Aruco Markers

<p>Many ROS developers know PX4 exists but never get the chance to actually poke at it. This talk gives you that chance. We walk through a complete precision landing pipeline using PX4, ROS 2, OpenCV, Aruco markers, and Gazebo, built the same way we teach it in our hands on workshops.</p> <p>We start with the pieces of the PX4 architecture that matter to you as a ROS developer, then show how the PX4 ROS 2 interface works, including the PX4 ROS 2 Library by Auterion that makes message handling feel familiar instead of foreign. From there we jump into simulation with Gazebo, run OpenCV based Aruco detection, and wire it all into a precision landing controller.</p> <p>The heart of the session is practical. We take the tag pose produced by OpenCV in the camera optical frame, transform it into the body frame and world frame, and use it to run an approach phase with PI velocity control. We cover the spiral search pattern for when the tag is not visible, and the land detection feedback that lets the system finish the job safely.</p> <p>To make it easy to try everything at home, we will provide a Docker container and an open repository with all the source code and configuration you need to reproduce the pipeline on your own machine.</p> <p>If you have ever thought about connecting your ROS and OpenCV skills to PX4 but did not know where to start, this talk will get you there with a smile and a working example you can take home.</p>

Additional information

Live Stream https://live.fosdem.org/watch/ub2147
Type devroom
Language English

More sessions

1/31/26
Robotics and Simulation
Arnaud Taffanel
UB2.147
<p>Welcome session.</p>
1/31/26
Robotics and Simulation
Stef Dillo
UB2.147
<p>Robot Vacuums are a pretty common item in many households around the world. They've also become a fairly standard item for robot hobbyists to hack on and use as cheap, open platforms for experiments in mobile bases. The classic "Turtlebot" platform has seen many incarnations, as the iRobot Create series, the Kobuki base, the Neato BotVac and now lives on in the "Hackerbot" from HackerBot Industries(https://www.hackerbot.co/). It has an open command set, options for an arm, animated head and ...
1/31/26
Robotics and Simulation
UB2.147
<p>When building a robot you want to make sure your set up is perfect. This means good calibration for your sensors, good configurations for your sensors, good synchronization between sensors, good data logging practices and much much more! </p> <p>In this talk Roland and Sam will talk about their experiences with poorly configured robots, the importance of visualisation and the (open source) tools they use to solve their problems.</p>
1/31/26
Robotics and Simulation
Guillaume BINET
UB2.147
<p>As robotics systems grow more complex, bringing together all types of specialties from algorithm/ML developers, control engineers, to safety engineers, has become increasingly painful, especially when working with large, brittle stacks like C++ and ROS.</p> <p>This talk shares the journey of building Copper-rs, a Rust first robot runtime to make robotics development simpler, safer, and more predictable. Rust’s mix of performance, memory safety, and fearless concurrency offers a foundation ...
1/31/26
Robotics and Simulation
Malte Schrader
UB2.147
<p>ROS 2 is tied to specific Ubuntu versions, which limits platform choice and can introduce additional configuration complexity. In this talk, I will explain how to run ROS 2 on non-standard platforms using Apptainer, a practical alternative to Docker. I explain why Apptainer works well for robotics: it enables easy access to USB and serial devices, supports GPUs, and runs GUI programs like rviz without configuration. The talk ends with a short look at when the package manager Pixi might even ...
1/31/26
Robotics and Simulation
Nicolas Rodriguez
UB2.147
<p>Just1 is an open-source robotics platform built for learning and rapid experimentation. It supports manual and autonomous navigation, path following, and obstacle avoidance. With a bill of materials around $250, it offers an affordable way to explore robotics, ROS 2, and autonomous behaviors.</p> <p>The hardware includes a Raspberry Pi 4, mecanum wheels, TT motors, a 2D LiDAR, Raspberry Pi camera, and an IMU. The software stack is based on ROS 2 Jazzy, with RTAB-Map for SLAM, Nav2, and ...
1/31/26
Robotics and Simulation
Miguel Xochicale
UB2.147
<p>The learning curve for ROS2 can be steep, often requiring the installation and resolution of diverse software dependencies across operating systems, sensors, network configurations and robotic platforms. By combining virtual machines (VMs), with their off-the-shelf, ready-to-use environments resources and modern container registry workflows, we can reduce this complexity and enables learners to focus more directly on developing ROS2 skills. This approach also offers a smoother onboarding ...