Ros2 Web Integration

Bridges the gap between ROS2 and web browsers with patterns for REST APIs, WebSockets, and video streaming. Covers when to use rosbridge_suite for quick prototypes versus building a custom FastAPI or Flask bridge for production with proper auth and rate limiting. You get latency comparisons, code for streaming compressed images over WebSocket, handling the rclpy executor alongside an async web server without deadlocks, and practical advice on exposing only specific topics instead of your entire robot graph to the internet. If you're building a robot dashboard or need to pipe sensor data to a browser, this walks through the tradeoffs and gives you working examples for both the throwaway demo and the thing you'll actually deploy.

skills.sh installs: 125
GitHub stars: 400
last updated: May 25, 2026

View on GitHub

Install

$ npx -y skills add arpitg1304/robotics-agent-skills --skill ros2-web-integration --agent claude-code

Installs into .claude/skills of the current project.

Files

ROS2 Web Integration Skill

When to Use This Skill

Building a web dashboard to monitor or control a robot running ROS2
Streaming camera feeds (MJPEG, WebRTC, compressed WebSocket) from a robot to a browser
Exposing ROS2 services and actions as REST API endpoints
Implementing bidirectional WebSocket communication between a web UI and ROS2 nodes
Setting up rosbridge_suite for quick prototyping or foxglove integration
Writing a custom FastAPI or Flask bridge to ROS2 for production deployments
Adding authentication, rate limiting, or CORS to robot web interfaces
Running an async web server (uvicorn) alongside the rclpy executor without deadlocks
Publishing teleop commands from a browser joystick to cmd_vel
Serving ROS2 parameter configuration pages or diagnostic dashboards over HTTP