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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

2.ROS2 install Jazzy

2. ROS2 Installation (Jazzy)

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

  • ROS2 Jazzy corresponds to Ubuntu 24.04

  • To install other ROS2 versions, simply replace jazzy in the installation commands with the desired version. This applies to all ROS2 version-specific software in the ROS2 tutorial series. Subsequent tutorials will not repeat this explanation.

  • Yahboom image already has the basic ROS environment installed. Related packages may need to be downloaded separately

1. Setting Up Locale

Please check if your locale supports UTF-8 encoding first. Use the following commands to check and set UTF-8 encoding:

​x
locale  # Check UTF-8 support

sudo apt update && sudo apt install locales
sudo locale-gen en_US en_US.UTF-8
sudo update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8
export LANG=en_US.UTF-8

locale  # Verify settings

Note: The locale can be different, but it must support UTF-8 encoding.

 

2. Installing Jazzy

First, update the apt repository cache:

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sudo apt update

Then upgrade installed software (ROS2 packages are built on frequently updated Ubuntu systems. Please ensure your system is up to date before installing new packages):

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sudo apt upgrade

Install ROS2 Jazzy Desktop (recommended), which includes: ROS, RViz, examples and tutorials. The installation command is as follows. If you need to install other versions, replace "jazzy" with the corresponding version number in the command below:

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sudo apt install ros-jazzy-desktop python3-argcomplete

Install colcon build tools:

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sudo apt install python3-colcon-common-extensions

 

3. Configuring Environment

  • For other ROS2 versions, replace jazzy with the corresponding version identifier. For example, for Humble, replace jazzy with humble.

When running ROS2 programs in the terminal, you need to source the environment:

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source /opt/ros/jazzy/setup.bash

You need to execute the above command every time you open a new terminal, or you can run the following command to write the environment setup to ~/.bashrc, so you don't need to manually configure the environment each time you start a new terminal:

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echo "source /opt/ros/jazzy/setup.bash" >> ~/.bashrc

At this point, ROS2 has been installed and configured.

 

4. Running Publisher and Subscriber Example Nodes

ROS2 desktop comes with pre-installed example nodes. We can test if ROS2 is installed successfully by running these example nodes.

  • Run the publisher node:

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ros2 run demo_nodes_cpp talker
  • Run the subscriber node:

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ros2 run demo_nodes_cpp listener

 

5. Running the TurtleSim Demo

Turtlesim is a classic teaching tool in ROS. Through turtlesim, you can quickly understand the core concepts in ROS.

  • Run turtlesim:

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ros2 run turtlesim turtlesim_node
  • Run keyboard control node:

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ros2 run turtlesim turtle_teleop_key
  • View velocity topic data:

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ros2 topic echo /turtle1/cmd_vel

 

6. Uninstalling

After ROS2 is installed, if you want to uninstall ROS2, run the following commands:

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sudo apt remove ~nros-jazzy-* && sudo apt autoremove

You can also remove the ROS2 repository:

sudo rm /etc/apt/sources.list.d/ros2.list
sudo apt update
sudo apt autoremove
Introduction to ROS2
ROS2 development environment

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