A curated list of awesome resources, libraries, and tools for the Gazebo robotics simulation framework.
Awesome Gazebo is a curated collection of resources for the Gazebo robotics simulation framework. It provides organized links to documentation, model databases, physics engines, tutorials, books, and presentations to help users work effectively with Gazebo in ROS1 and ROS2 environments. The project solves the problem of fragmented information by collecting quality resources in one place.
Robotics developers, researchers, and students using Gazebo for simulation projects, particularly those working with ROS1 or ROS2. It's especially valuable for newcomers seeking learning materials and experienced users looking for specialized tools.
Developers choose Awesome Gazebo because it saves time searching for scattered resources and provides community-vetted links. Unlike generic searches, it offers organized, simulation-specific content including physics engine comparisons and real-world application examples from ROSCon presentations.
Gazebo, the simulation framework for ROS1 and ROS2 is awesome!
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Curates links across documentation, models, physics engines, and tutorials in a single list, saving users from scattered searches as seen in the Contents section.
Lists and links to major physics engines like Bullet, DART, ODE, and SimBody with GitHub stars, aiding in comparison and selection directly from the README.
References specific book chapters and tutorials for ROS1/ROS2 integration, such as those from 'Learning ROS for Robotics Programming', providing a clear learning path.
Includes ROSCon presentations from 2014 to 2018 with slides and videos, offering real-world examples like space robotics and underwater simulation applications.
The project only aggregates external links; it doesn't create custom guides or address gaps, such as the admission under Books that 'No books existing yet'.
As a community-curated list, it risks becoming outdated if not regularly updated with new Gazebo releases or resource changes, lacking version-specific guidance.
Heavily focuses on ROS integration, with fewer resources for using Gazebo independently or with non-ROS frameworks, limiting its appeal to broader robotics communities.