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RDK S600 Developer Kit📖
1.RDK S600 board introduction
  • 1.1 RDK S600 board introduction
  • 1.2 System Flashing
  • 1.3 Hardware Interface Description
  • 1.4 Accessory Installation
  • 1.5 Camera Expansion Board
  • 1.6 MCU Interface Expansion Board
  • 1.7 Precautions for Using the 15.6-inch Screen
  • 1.8 System Boot Modes
2.RDK S600 basic course
  • 2.1 Network Configuration
  • 2.2 Remote Login
  • 2.3 System Update
  • 2.4 Boot Auto-Start Configuration
  • 2.5 RDK Exclusive Command Usage
  • 2.6 Linux Command Usage
  • 2.7 Examples of GPIO Read and Write Operations
  • 2.8 Using the USB Camera
  • 2.9 Solid-state mounting
  • 2.10 SSD expansionnew
3.TogetheROS.Bot Vision Applications
  • 1. About TogetheROS. Bot
  • 2. System Installation
  • 3. Object Detection(YOLO)
  • 4. Image Classification(mobilenetv2)
  • 5. Image Segmentation(mobilenet_unet)
  • 6. Perception Algorithm(BEV)
  • 7. Human Detection and Tracking (Ultralytics YOLO Pose)
4. Offline AI Large Model Development
Offline large model (Text Interaction)
  • 1. AI large model environment deployment
  • 2. Install large model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 model
  • 5. Microsoft Phi-4 mini model
  • 6. DeepSeek - DeepSeek-R1 model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Lava Visual Multimodal Large Model
  • 10. MiniCPM-V Visual Multimodal Large Model
  • 11. Multimodal visual understand application
  • 12. Multimodal text image application
  • 13. Multimodal visual localization application
  • 14. Multimodal table scanning application
  • 15. Multimodal Autonomous Agent Applications
Offline large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Offline speech-to-text (ASR)
  • 2. Offline Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual understanding voice interaction
  • 5. Multimodal Text-to-Image application
  • 6. Multimodal video analytics application
  • 7. Multimodal visual localization application
  • 8. Multimodal table scanning application
  • 9. Multimodal autonomous agent application
  • 10. AI Large Model Offline Voice Assistant
5. Online AI Large Model Development
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal visual localization application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model online voice assistant
6.YOLO26 tutorials
  • 01.YOLO26 environment
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training - conversion
  • 11.Model prediction
7.OpenClaw Advanced Development
  • 1. OpenClaw Deployment
  • 2. OpenClaw and WhatsApp Plugin Application
  • 3. OpenClaw TUI Interaction
  • 4. OpenClaw WebChat Interaction
  • 5. OpenClaw Gate Gateway Operation Manual
  • 6. OpenClaw Plugin Function Introduction
  • 7. OpenClaw Tools Introduction
  • 8. OpenClaw ClawHub Introduction (skill Installation)
  • 9.OpenClaw Application - File Management
  • 10.OpenClaw Application - Browser Control
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Script Execution
  • 13.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 14. OpenClaw Application - Dedicated AI Assistant
  • 15. OpenClaw Configure Web Search Capability
8.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Jazzy
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
Download
  • System_File
  • Code
  • 3D_Model_File
  • Tools_Software
Download ZIP

Welcome to RDK S600 Developer Kit repository

5.ROS2 function package

ROS2 function package

5. ROS2 Packages

Note: The accompanying reference video uses the ROS Humble version, for reference only

1. Package Overview

Each robot may have many functions, such as motion control, visual perception, autonomous navigation, etc. If we put all the source code for these functions together, it would work, but when we want to share some of these functions with others, we find that the code is mixed together and difficult to separate.

The package mechanism follows this principle. We divide code of different functions into different packages, trying to minimize the coupling between them. When we need to share with others in the ROS community, we only need to explain how to use the package, and others can quickly start using it.

Therefore, the package mechanism is one of the important methods to improve software reusability in ROS.

 

2. Creating a Package

How to create a package in ROS2? You can use this command:

ros2 pkg create <package_name> --build-type <build-type> --dependencies <dependencies> --node-name <node-name>

In ros2 command:

  • pkg: Package-related functionality;

  • create: Create a package;

  • package_name: Required: Name of the new package;

  • build-type: Required: Indicates whether the new package is C++ or Python. Use ament_cmake for C/C++, or ament_python for Python;

  • dependencies: Optional: Package dependencies. C++ packages need rclcpp, Python packages need rclpy, plus other needed dependencies;

  • node-name: Optional: Name of the executable program. Automatically generates corresponding source files and configuration files;

For example, creating C++ and Python packages in the terminal:

  • Navigate to the src directory of the workspace:

  • Replace workspace with your actual folder path:

xxxxxxxxxx
cd workspace/src
  • Create C++ package example:

xxxxxxxxxx
ros2 pkg create pkg_helloworld_cpp --build-type ament_cmake --dependencies rclcpp --node-name helloworld
  • Create Python package example:

xxxxxxxxxx
ros2 pkg create pkg_helloworld_py --build-type ament_python --dependencies rclpy --node-name helloworld

 

3. Building Packages

After writing code in the created package, you need to build and configure environment variables before running:

  • Navigate to the workspace directory:

  • Build all packages:

xxxxxxxxxx
colcon build
  • Build specific packages:

xxxxxxxxxx
colcon build --packages-select pkg1 pkg2

 

4. Complete Workspace Structure with Packages

The ROS2 workspace directory structure is as follows:

xxxxxxxxxx
WorkSpace --- Custom workspace.
    |--- build: Directory storing intermediate files. A separate subdirectory is created for each package under this directory.
    |--- install: Install directory. A separate subdirectory is created for each package under this directory.
    |--- log: Log directory for storing log files.
    |--- src: Directory for storing package source code.
        |-- C++ Package
            |-- package.xml: Package information such as name, version, author, dependencies.
            |-- CMakeL
ROS2 workspace
ROS2 node

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