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RDK X5 MagicBox📖
1.RDK MagicBox
  • 1. RDK MagicBox Official Materials
  • 2. Troubleshooting boot failure
  • 3. Linux memory query
2.RDK MagicBox Introduction
  • 1. Introduction to RDK MagicBox
  • 2. Write System File
  • 3. Hardware Interface Description
3.RDK MagicBox User Guide
1. Quick Start
  • Quick Start
2. Basic Peripheral Usage
  • Basic Peripheral Usage
3. Algorithm Development
  • 1. Stereo Depth Estimation
  • 2. Gesture Interaction
  • 3. Voice Interaction
4.RDK MagicBox Basic Settings
  • 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.MIPI Camera Usage
5.RDKX5 Magicbox Basic Development Course
For C language
  • 1. Camera Image Acquisition and Display
  • 2. Camera Image Local Saving
  • 3. Camera Image Acquisition and Encoding
  • 4. Video File Decoding and Display
  • 5. RTSP Stream Decoding
  • 6. VPS Scaling Example
  • 7. Target Detection Algorithm — focs
  • 8. Target Detection Algorithm — YOLOv5s
  • 9. Using CAN
For Python language
  • 1. Prerequisites Before Using Pin Functions
  • 2. Using GPIO
  • 3. Using PWM
  • 4. Use serial port
  • 5. Using I2C
  • 6. Using SPI
For Linux Development
  • Linux Development Guide
6.Online AI Model Course
Online AI Model Course(Text Interaction)
  • 0. Preparation before use
  • 1. OpenRouter Large Model API Aggregation Platform
  • 2. Multimodal Visual Understanding Application
  • 3. Multimodal Visual Positioning Application
  • 4. Multimodal Table Scanning Application
  • 5. Multimodal Autonomous Agent Application
Online AI Model Course(Voice Interaction)
  • 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 Positioning Application
  • 6. Multimodal Table Scanning Application
  • 7. Multimodal Autonomous Agent Application
  • 8. AI Large Model Online Voice Assistant
7.OpenClaw Embodied AI Development
  • 1. Introduction to OpenClaw
  • 2. OpenClaw Deployment
  • 3. OpenClaw Whatsapp Plugin Application
  • 4. OpenClaw WebChat Interaction
  • 5. OpenClaw TUI Interaction
  • 6. OpenClaw Tool Introduction
  • 7. OpenClawGate Gateway User Manual
  • 8. OpenClaw Plugin Feature Introduction
  • 9. OpenClaw ClawHub 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‑programmed Status Light Control
  • 15. OpenClaw Application - AI‑programmed Servo Control
  • 16. OpenClaw Application - Dedicated AI Assistant
8.ROS2 Basic Tutorial
  • 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
  • Code
  • Software_tools
  • SystemFile
Download ZIP

Welcome to RDK X5 MagicBox repository

4.ROS2 workspace

4. ROS2 Workspace

1. Workspace Introduction

In ROS robot development, when developing specific robot functions, various code, parameters, scripts, and other files need to be stored and managed in a folder. This folder is called a workspace in the ROS system. A workspace is a folder that stores project-related files and serves as the central repository for all data during the development process.

2. Create a Workspace

  • Create a folder to store the project files. yahboomcar_ws is the folder name; you can name it anything.
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mkdir -p yahboomcar_ws/src
  • Switch to the workspace folder
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cd ~/yahboomcar_ws

3. Compile the Workspace

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colcon build

After the build is complete, you should see the build, install, and log directories:

image-20231023151712427

A typical workspace structure in the ROS system is shown above. yahboomcar_ws is the root directory of the workspace, which contains four subdirectories, or subspaces.

  • src, the code space, where all future code and scripts will need to be placed manually;
  • build, the compilation space, stores intermediate files generated during the compilation process;
  • install, the installation space, stores compiled executable files and scripts;
  • log, the log space, stores various warnings, errors, and information logs during the compilation and execution process.

Generally speaking, the vast majority of operations within these four workspaces are performed in the src folder. After a successful compilation, the results in the install folder are executed. The build and log folders are rarely used.

It's also important to emphasize that you can define your own workspace names**, and the number of workspaces is not unique. For example:

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Workspace 1: ros2_ws_a, for robot A development
Workspace 1: ros2_ws_b, for robot B development
Workspace 1: ros2_ws_c, for robot C development

The above scenarios are completely permitted, just like creating multiple new projects in an integrated development environment; they all exist in parallel.

4. Setting Environment Variables

After successfully compiling, we need to set environment variables to ensure the system can find our package and executable files:

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# Valid only in the current terminal
source install/setup.bash
# Valid in all terminals
echo "source ~/yahboomcar_ws/install/setup.bash" >> ~/.bashrc

This completes the creation, compilation, and configuration of the workspace.

ROS2 development environment
ROS2 function package

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