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RDK X5 Board📖
1.Introduction to RDK X5 board
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Use 7-inch display
2.Basic settings course
  • 1.Network configuration
  • 2.Remote login
  • 3.Update system
  • 4.srpi-config user guide
  • 5.config. txt configuration file
  • 6.Self-startup setting
  • 7.RDK exclusive command usage
  • 8.Linux command usage
  • 9.GPIO readwrite operation
  • 10.Image classification algorithm
  • 11.Use USB camera
  • 12.Use MIPI camera
  • 13.Binocular camera depth algorithm
3.Basic development course
C language
  • 1.Camera image display
  • 2.Local save camera images
  • 3.Camera image encoding
  • 4.Video file decoding
  • 5.RTSP streaming decoding
  • 6.VPS scaling example
  • 7.Target detection algorithm-fcos
  • 8.Target detection algorithm-YOLOv5s
  • 9.Using CAN
Python
  • 0.ReadMe
  • 1.Using GPIO
  • 2.Using PWM
  • 3.Using Serial port
  • 4.Using I2C
  • 5.Using SPI
4.ROS expansion board
Python basic control
  • 0.Bind PCB port devices
  • 1.Install the Rosmaster driver library
  • 2.Buzzer whistle
  • 3.Control PWM servo
  • 4.RGB colorful light bar special effects display
  • 5.Control the forward and reverse rotation of the motor
  • 6.Control the movement of the robot
  • 7.Control Serial Servo
  • 8.Update firmware of expansion board
  • 9.Drive OLED
ROS2 robot control
  • 1.Function package usage process
  • 2.Robot information release
  • 3.Robot keyboard control
  • 4.Robot state estimation
  • 5.Robot calibration
  • 6.URDF model
5.T-MINI PLUS Lidar
  • 0.Preparation before use(Must read)
  • 1.Environment setup
  • 2.T-MINI PLUS LiDAR drive
  • 3.Handheld LiDAR mapping
6.AI VIEW Depth camera
AI VIEW Depth camera use
  • 1.AI VIEW Depth camera use
  • 2.Camera internal parameter calibration
  • 3.Color tracking
  • 4.KCF object tracking
Mediapipe functions
  • 1.Hand detection
  • 2.Attitude detection
  • 3.Overall inspection
  • 4.Facial detection
  • 5.Facial recognition
OpenCV series courses
  • 1.ROS+opencv application
  • 2.QR code creation and recognition
  • 3.AR vision
7.Offline AI model course
Offline-LLM-Text-Interaction
  • 0.AI-Large-Model-Image-Description
  • 1.AI-Large-Model-Environment-Deployment
  • 2.LLM-Conversation-Platform-Installation
  • 3.Meta-AI-Llama3.2-Model
  • 4.Alibaba-Cloud-Qwen3-Model
  • 5.Microsoft-Phi-4-mini-Model
  • 6.DeepSeek-DeepSeek-R1-Model
  • 7.Alibaba-Cloud-Qwen2.5vl-Vision-Multimodal-Model
  • 8.Google-Gemma3-Vision-Multimodal-Model
  • 9.Llava-Vision-Multimodal-Model
  • 10.MiniCPM-V-Vision-Multimodal-Model
  • 11.Multimodal-Text-to-Image-Application
  • 12.Multimodal-Video-Analysis-Application
  • 13.Multimodal-Visual-Understanding-Application
  • 14.Multimodal-Visual-Localization-Application
  • 15.Multimodal-Table-Scanning-Application
  • 16.Multimodal-Autonomous-Agent-Application
Offline-LLM-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-Analysis-Application
  • 7.Multimodal-Visual-Localization-Application
  • 8.Multimodal-Table-Scanning-Application
  • 9.Multimodal-Autonomous-Agent-Application
  • 10.AI-Large-Model-Offline-Voice-Assistant
8.Online AI model course
Online-LLM-Text-Interaction
  • 1.OpenRouter-Large-Model-API-Aggregation-Platform
  • 2.Multimodal-Visual-Understanding-Application
  • 3.Multimodal-Visual-Localization-Application
  • 4.Multimodal-Table-Scanning-Application
  • 5.Multimodal-Autonomous-Agent-Application
Online-LLM-Voice-Interaction
  • 0.Voice-Interaction-Hardware-Connection-Must-Read
  • 1.Online-Speech-to-Text-ASR
  • 2.Online-Text-to-Speech-TTS
  • 3.AI-Large-Model-Voice-Interaction
  • 4.Multimodal-Visual-Voice-Interaction
  • 5.Multimodal-Visual-Localization-Application
  • 6.Multimodal-Table-Scanning-Application
  • 7.Multimodal-Autonomous-Agent-Application
  • 8.AI-Large-Model-Online-Voice-Assistant
9.YOLO26 tutorials
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented bounding box object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
10.OpenClaw Deployment and Basic Usagenew
  • 01.OpenClaw Quick Start
  • 02.OpenClaw Deployment
  • 03.OpenClaw WhatsApp Plugin Application
  • 04.OpenClaw WebChat Interaction
  • 05.OpenClaw TUI Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawClawHub Introduction (Skill Installation)
  • 10.OpenClaw Application - File Management
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Browser Control
  • 13.OpenClaw Application - Script Execution
  • 14.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 15.OpenClaw Application - Dedicated AI Assistant
  • 16.OpenClaw Web Search Capability Configuration
11.OpenClaw Advanced Developmentnew
1.Preparation Before Use
  • 01. Peripheral Hardware Configuration
  • 02. OpenClaw API-KEY Configuration
  • 03. OpenClaw Model Switching
  • 04. OpenClaw Prompts
  • 05. AI Voice Interaction Configuration
  • 06. Three Dialogue Configuration Tests
2.OpenClaw AI Programming Peripheral Control
  • 1. Servo Control
  • 2. RGB Strip
  • 3. OLED Display
  • 4. Temperature and Humidity Sensor
  • 5. Camera Application
  • 6. AI Script Peripheral Control
3.OpenClaw Peripheral Integration Applications
  • 1. Plant Care Assistant
  • 2. AI Calorie Estimation
  • 3. AI Rock Paper Scissors Game
  • 4. AI Pet
  • 5. AI Weather Station
  • 6. Temperature and Humidity Dashboard
  • 7. Scheduled Tasks
12.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 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
  • Tools
Download ZIP

Welcome to RDK X5 Board repository

16.ROS2 common command tools

16. ROS2 Common Command Tools

1. Package Management Tool ros2 pkg

1.1. ros2 pkg create

Function: Creates a package. When creating a package, you must specify the package name, compilation method, dependencies, etc.

Format:

xxxxxxxxxx
ros2 pkg create <package_name> --build-type <build-type> --dependencies <dependencies>

In the ros2 command:

  • pkg: Indicates the functions associated with the package;
  • create: Indicates the creation of a package;
  • package_name: Required: The name of the new package;
  • build-type: Required: Indicates whether the newly created package is C++ or Python. If using C++ or C, follow ament_cmake; if using Python, follow ament_python;
  • dependencies: Optional: Indicates the package's dependencies. C++ packages must include rclcpp; Python packages must include rclpy, as well as other required dependencies.

1.2, ros2 pkg list

Function: View the list of packages in the system

Format:

xxxxxxxxxx
ros2 pkg list

image-20230427154146879

1.3. ros2 pkg executables

Function: View all executable files in a package

Format:

xxxxxxxxxx
ros2 pkg executables pkg_name

image-20230427154419005

2. Node Run ros2 run

Function: Run the node program in the package

Format:

xxxxxxxxxx
ros2 run pkg_name node_name
  • pkg_name: Package name
  • node_name: The name of the executable program

image-20230427155359745

3. Node-Related Tools: ros2 node

3.1. ros2 node list

Function: Lists all node names in the current domain

Format:

xxxxxxxxxx
ros2 node list

image-20230427155655753

3.2. ros2 node info

Function: View detailed node information, including subscriptions, published messages, enabled services, and actions.

Format:

xxxxxxxxxx
ros2 node info node_name
  • node_name: The name of the node to be viewed.

image-20230427160001101

4. Topic-Related Tools: ros2 topic

4.1. ros2 topic list

Function: List all topics in the current domain

Format:

xxxxxxxxxx
ros2 topic list

image-20230427160351051

4.2. ros2 topic info

Function: Display topic message type and number of subscribers/publishers

Format:

xxxxxxxxxx
ros2 topic info topic_name
  • topic_name: The name of the topic to be queried.

image-20230427160625594

4.3, ros2 topic type

Function: View the message type of a topic

Format:

xxxxxxxxxx
ros2 topic type topic_name
  • topic_name: The name of the topic type to be queried.

image-20230427161056536

4.4, ros2 topic hz

Function: Display the average publishing frequency of a topic.

Format:

xxxxxxxxxx
ros2 topic hz topic_name
  • topic_name: The name of the topic whose frequency you want to query.

image-20230427161721650

4.5, ros2 topic echo

Function: Print topic messages on the terminal, similar to a subscriber.

Format: ros2 topic echo topic_name

  • topic_name: The name of the topic whose messages you want to print.

image-20230427162312888

4.5, ros2 topic pub

Function: Publish a message on a specified topic on the terminal.

Format:

xxxxxxxxxx
ros2 topic pub topic_name message_type message_content
  • topic_name: The name of the topic whose messages you want to publish.
  • message_type: The data type of the topic.
  • message_content: Message content

The default is to publish at a 1Hz frequency. The following parameters can be set:

  • Parameter -1 to publish only once, ros2 topic pub -1 topic_name message_type message_content
  • Parameter -t count to publish count times, ros2 topic pub -t count topic_name message_type message_content
  • Parameter -r count to publish at a count Hz frequency, ros2 topic pub -r count topic_name message_type message_content

Example:

  • Publish velocity commands via the command line
  • Note that there is a space after each colon; otherwise, a format error will be displayed.
xxxxxxxxxx
ros2 topic pub turtle1/cmd_vel geometry_msgs/msg/Twist "{linear: {x: 0.5, y: 0.0, z: 0.0}, angular: {x: 0.0, y: 0.0, z: 0.2}}"

image-20250905163149992

5. Interface-Related Tools: ros2 interface

5.1. ros2 interface list

Function: Lists all interfaces in the current system, including topics, services, and actions.

Format:

xxxxxxxxxx
ros2 interface list

image-20230427164755075

5.2. ros2 interface show

Function: Displays the detailed information of a specified interface

Format:

xxxxxxxxxx
ros2 interface show interface_name
  • interface_name: The name of the interface to be displayed

image-20230427165057647

6. Service-Related Tools ros2 service

6.1. ros2 service list

Function: Lists all services in the current domain

Format:

xxxxxxxxxx
ros2 interface show interface_name

image-20230427172236875

6.2, ros2 service call

Function: Call a specified service

Format:

xxxxxxxxxx
ros2 interface call service_name service_Type arguments
  • service_name: The service to be called
  • service_type: The service data type
  • arguments: The parameters required to provide the service

For example, to call the turtle spawn service

xxxxxxxxxx
ros2 service call /spawn turtlesim/srv/Spawn "{x: 2, y: 2, theta: 0.2, name: 'turtle10'}"

image-20230427173625631

ROS2 time related API
ROS2 rviz2 use

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