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ros2-messaging

Configure ROS2 publishers and subscribers with QoS settings for synchronized messaging.

Updated May 3, 2026
Search Tags:#synchronization#mqtt#ros2#robotics#qos#inter-process#message filters
One-click install
npx skills add https://github.com/elliewlh2094/codex-robotics-skills --skill ros2-messaging
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ros2-messaging
Source: https://github.com/elliewlh2094/codex-robotics-skills/tree/main/.agents/skills/ros2-messaging
Command: npx skills add https://github.com/elliewlh2094/codex-robotics-skills --skill ros2-messaging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rclpy, rclcpp, message_filters, sensor_msgs, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It addresses the challenge of implementing reliable messaging, QoS configurations, and synchronization in ROS2 robotic systems, reducing debugging time and ensuring consistent data flow.

Core Features & Use Cases

  • Messaging Infrastructure: Provides tools and patterns for setting up publishers and subscribers with appropriate QoS settings for sensors, commands, and state data.
  • QoS Configuration: Offers guidelines and code snippets to configure reliable, best-effort, and latched communication for various robot components.
  • Synchronization: Enables aligning multiple sensor streams by timestamp using message_filters, critical for data fusion and coordinated perception.
  • Use Case: When designing a robot’s perception pipeline, synchronize camera images with camera info to ensure accurate processing.

Quick Start

Use the ROS2 messaging skill to set up a subscriber that processes camera images and info in sync.

Frequently Asked Questions about ros2-messaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synchronize multiple ROS2 sensor streams by timestamp for data fusion?▼

To synchronize multiple ROS2 sensor streams, use the message_filters package to align camera images and camera info by timestamp, ensuring accurate coordinated perception and reliable data fusion for robotic perception pipelines.

How do I configure QoS settings for ROS2 publishers and subscribers?▼

Configuring ROS2 QoS settings involves selecting reliable, best-effort, or latched communication profiles for sensors, commands, and state data to ensure consistent data flow and reduce messaging debugging time across robot components.

What is the best way to debug QoS mismatches in ROS2 distributed robot architectures?▼

Debugging QoS mismatches in ROS2 distributed robot architectures requires establishing consistent topic naming and configuring compatible reliable or best-effort profiles to promote best practices and ensure message compatibility across inter-process communication.

Can I use rclpy and rclcpp to establish intra-process communication in ROS2?▼

Yes, rclpy and rclcpp support establishing intra-process communication in ROS2 to facilitate reliable messaging between nodes, ensuring message compatibility and improving data flow efficiency for robotic perception and control tasks.

Why does my ROS2 perception pipeline fail to process unsynchronized camera images and camera info?▼

ROS2 perception pipelines fail when camera images and camera info are unsynchronized because processing requires aligned timestamps; using message_filters to synchronize these sensor streams ensures accurate data fusion and coordinated perception.

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