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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

17.ROS2 rviz2 use

17. ROS2 Rviz2 Usage

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

1. Rviz2 Overview

During robot development, for various functions, if we only analyze from the data level, it's difficult to quickly understand the effect of the data. For example, with robot models, we need to know what our designed model looks like, and where many coordinate systems inside the model are located during movement.

Another example is robotic arm motion planning and mobile robot autonomous navigation. We want to see the robot's surrounding environment, planned paths, and of course sensor information - cameras, 3D cameras, LiDAR, etc. Data is used for computation, but visualization effects are for people to see.

Therefore, data visualization can greatly improve development efficiency. Rviz2 is such a data visualization software in the robot development process. Robot models, sensor information, environmental information, etc., can all be handled here.

2. Prerequisites

  • If you have a physical robot, you can start rviz on the robot's main control terminal to practice the content of this section. If you don't have a physical robot, we can use Gazebo simulation to start a TurtleBot3 simulated robot to simulate LiDAR, camera, and other topics, facilitating the subsequent data visualization.

Note: The following installation steps are not mandatory. If you have a physical robot, after configuring multi-machine communication, you can directly use the robot's LiDAR information. You can choose to use physical or simulated robot LiDAR; the following content is for users without a physical robot.

  • This section uses a simulated robot as an example to teach Rviz2's visualization functions. Whether using a physical or simulated robot, the Rviz2 operation process is the same.

  • Install turtlebot3 simulator package:

sudo apt install ros-${ROS_DISTRO}-turtlebot3*
  • Install ROS and Gazebo bridge tool:

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sudo apt install ros-${ROS_DISTRO}-ros-gz
  • Set turtlebot3 robot type environment variable:

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export TURTLEBOT3_MODEL=waffle
  • Start Gazebo simulation environment:

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source /opt/tros/jazzy/setup.bash
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ros2 launch turtlebot3_gazebo turtlebot3_world.launch.py

image-20250905164250419

 

3. Starting Rviz2

Open a terminal and use the following command to start:

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rviz2

If starting in Docker, make sure GUI display has been enabled.

image-20231031104047357

 

4. Image Data Visualization

Click "Add" in the left Displays window, then click "By topic" and find the /camera/image_raw topic. After clicking OK, it will be added to the display list and you can successfully see the robot's camera image.

image-20231031104244974

 

  • Set Fixed Frame to base_footprint coordinate system to avoid coordinate transform errors

  • Select camera color image topic /camera/image_raw

  • At this point, we can see the current simulated robot's perspective in the Camera window

image-20250905165626951

 

5. LiDAR Data Visualization

Click "Add" in the left Displays window, then click "By topic" and configure the subscription topic name as /scan. At this point, you can see the laser points.

image-20231031104528033

 

  • LaserScan's Topic should be set to /scan

  • At this point, we can see the LiDAR point cloud contour

image-20250905170346004

 

6. Robot Model Visualization

Click "Add" in the left Displays window, then click "By topic" and select the topic /robot_description.

image-20250905170711426

  • At this point, we can see the visualized robot model in Rviz2.

image-20250905170923074

7. Other Data Visualization

The rivz_default_plugins lists many commonly used data visualization plugins. You can try them one by one.

image-20231031104758824

ROS2 common command tools
ROS2 rqt toolbox

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