Robotics and Simulation

A Core Developer's insights on Gazebo's Future

<p>More than two decades have passed since the first steps of the Gazebo simulator, one of the early attempts to provide a fully-featured 3D environment for robotics simulation. Rewritten into modular libraries, the new Gazebo preserved most of the internals from the previous era even if new features have been added continuously.</p> <p>Meantime, especially in the last 5 years, the field of robotics simulation has experienced a rapid transformation. A new generation of simulators has emerged (Isaac Sim, O3DE, Carla, etc.) showing powerful rendering capabilities and advanced physics engines, supported by GPU acceleration to enhance realism and performance. These developments have not only changed the landscape of simulation, but have also created new opportunities for integrating AI, machine learning, and robotics in more complex and scalable virtual environments.</p> <p>Are there any plans to push Gazebo into the modern features? The talk will provide information directly from one of the members of the Gazebo core team about existing roadmaps, funded projects, proof of concepts and any internal discussions on what could come for Gazebo in the future.</p>

Weitere Infos

Live Stream https://live.fosdem.org/watch/ub2147
Format devroom
Sprache Englisch

Weitere Sessions

31.01.26
Robotics and Simulation
Arnaud Taffanel
UB2.147
<p>Welcome session.</p>
31.01.26
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 ...
31.01.26
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>
31.01.26
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 ...
31.01.26
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 ...
31.01.26
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 ...
31.01.26
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 ...