docker-ros2-development

Solid

Best practices for Docker-based ROS2 development including multi-stage Dockerfiles, docker-compose for multi-container robotic systems, DDS discovery across containers, GPU passthrough for perception, and dev-vs-deploy container patterns. Use this skill when containerizing ROS2 workspaces, setting up docker-compose for robot software stacks, debugging DDS communication between containers, configuring NVIDIA Container Toolkit for GPU workloads, forwarding X11/Wayland for rviz2 and GUI tools, or managing USB device passthrough for cameras and serial devices. Trigger whenever the user mentions Docker with ROS2, docker-compose for robots, Dockerfile for colcon workspaces, container networking for DDS, GPU containers for perception, devcontainer for ROS2, multi-stage builds for ROS2, or deploying ROS2 in containers. Also trigger for CI/CD with Docker-based ROS2 builds, CycloneDDS or FastDDS configuration in containers, shared memory in Docker, or X11 forwarding for rviz2. Covers Humble, Iron, Jazzy, and Rolling di

DevOps & Infrastructure 324 stars 45 forks Updated 5 days ago Apache-2.0

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Quality Score: 90/100

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Frontmatter 20%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Docker-Based ROS2 Development Skill ## When to Use This Skill - Writing Dockerfiles for ROS2 workspaces with colcon builds - Setting up docker-compose for multi-container robotic systems - Debugging DDS discovery failures between containers (CycloneDDS, FastDDS) - Configuring GPU passthrough with NVIDIA Container Toolkit for perception nodes - Forwarding X11 or Wayland displays for rviz2 and rqt tools - Managing USB device passthrough for cameras, LiDARs, and serial devices - Building CI/CD pipelines with Docker-based ROS2 builds and test runners - Creating devcontainer configurations for VS Code with ROS2 extensions - Optimizing Docker layer caching for colcon workspace builds - Designing dev-vs-deploy container strategies with multi-stage builds ## ROS2 Docker Image Hierarchy Official OSRF images follow a layered hierarchy. Always choose the smallest base that satisfies dependencies. ``` ┌──────────────────────────────────────────────────────────────────┐ │ ros:<distro>-desktop-full (~3.5 GB) │ │ ┌────────────────────────────────────────────────────────────┐ │ │ │ ros:<distro>-desktop (~2.8 GB) │ │ │ │ ┌──────────────────────────────────────────────────────┐ │ │ │ │ │ ros:<distro>-perception (~2.2 GB) │ │ │ │ │ │ ┌────────────────────────────────────────────────┐ │ │ │ │ │ │ │ ros:<distro>-ros-base (~1.1 GB) │ │ │ │ │ │ │ │ ┌──────────────────────...

Details

Author
arpitg1304
Repository
arpitg1304/robotics-agent-skills
Created
5 months ago
Last Updated
5 days ago
Language
Python
License
Apache-2.0

Integrates with

Docker · Infrastructure

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