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Supported tags and respective Dockerfile links

For more information about this image and its history, please see the relevant manifest file (library/ros) in the docker-library/official-images GitHub repo.

What is ROS?

The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it's all open source.

wikipedia.org/wiki/Robot_Operating_System

logo

How to use this image

Create a Dockerfile in your ROS app project

FROM ros:indigo
# place here your application's setup specifics
CMD [ "roslaunch", "my-ros-app my-ros-app.launch" ]

You can then build and run the Docker image:

docker build -t my-ros-app .
docker run -it --rm --name my-running-app my-ros-app

More Resources

ROS.org: Main ROS website
Wiki: Find tutorials and learn more
ROS Answers: Ask questions. Get answers
Blog: Stay up-to-date
OSRF: Open Source Robotics Foundation

License

The core of ROS is licensed under the standard three-clause BSD license. This is a very permissive open license that allows for reuse in commercial and closed source products. You can find more about the BSD license from the Opensource.org BSD 3-Clause page and Wikipedia's BSD Licenses entry.

While the core parts of ROS are licensed under the BSD license, other licenses are commonly used in the community packages, such as the Apache 2.0 license, the GPL license, the MIT license, and even proprietary licenses. Each package in the ROS ecosystem is required to specify a license, so that it is easy for you to quickly identify if a package will meet your licensing needs.

Supported Docker versions

This image is officially supported on Docker version 1.6.2.

Support for older versions (down to 1.0) is provided on a best-effort basis.

User Feedback

Documentation

Documentation for this image is stored in the ros/ directory of the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.