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49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
---
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title: Introduction to ROS 2 Development with Docker
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linkTitle: ROS 2
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description: Learn how to containerize and develop ROS 2 applications using Docker.
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keywords: ros2, robotics, devcontainers, python, cpp, Dockerfile, rviz
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summary: |
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This guide details how to containerize ROS 2 applications using Docker.
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toc_min: 1
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toc_max: 2
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languages: [python]
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tags: [frameworks]
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params:
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time: 30 minutes
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image: /images/guides/ros2.jpg
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featured: true
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---
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> **Acknowledgment**
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>
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> This guide is a community contribution. Docker would like to thank
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> [Shakirth Anisha](https://www.linkedin.com/in/shakirth-anisha/) for her contribution
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> to this guide.
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[ROS 2](https://www.ros.org/) is a set of software libraries and tools for building robot applications. It uses Data Distribution Service (DDS) for real-time, secure communication between distributed nodes, making it ideal for robotics and autonomous systems.
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---
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## What will you learn?
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In this guide, you'll learn how to:
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- Use official ROS 2 base images from Docker Hub
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- Run ROS 2 in an Ubuntu container
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- Install ROS 2 packages and dependencies
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- Set up a development container for local development
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- Run a complete end-to-end example with Turtlesim
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## Prerequisites
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Before you begin, make sure you're familiar with the following:
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- [Docker Desktop](https://docs.docker.com/desktop/): You must have Docker Desktop installed and running.
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- [Docker concepts](/get-started/docker-concepts/the-basics/what-is-a-container.md): You must understand core Docker concepts, such as images and containers.
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- [ROS 2 concepts](https://www.ros.org): Basic understanding of concepts like nodes, packages, topics, and services.
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## What's next?
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Start by setting up your ROS 2 development environment using Docker and dev containers.
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