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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

2.ROS2 install Humble

2. Installing Humble in ROS2

  • The ROS2-Humble installation supports Ubuntu 22.04.
  • If you need to install a different version of ROS2, simply replace the humble version identifier in the installation command with the corresponding version. This applies to all other ROS-specific software in the ROS2 tutorial series and will not be covered in subsequent tutorials.

1. Set the locale

First, check whether the locale supports UTF-8 encoding. You can run the following command to check and set the UTF-8 encoding.

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locale # Check for 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 the configuration is successful
​

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

2. Set up the software source

Start the Ubuntu universe repository

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sudo apt install software-properties-common
sudo add-apt-repository universe

Add the ROS 2 apt repository to the system and authorize our GPG key with apt.

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sudo apt update && sudo apt install curl gnupg lsb-release -y
sudo curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg

Add the repository to the source list

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echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(source /etc/os-release && echo $UBUNTU_CODENAME) main" | sudo tee /etc/apt/sources.list.d/ros2.list > /dev/null

3. Install Humble

First, update the apt repository cache:

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sudo apt Update

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

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sudo apt upgrade

Install the desktop version of ROS2 (recommended), which includes ROS, RViz, examples, and tutorials. The installation command is as follows. If you need to install a different version, replace "humble" in the command with the corresponding version number:

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sudo apt install ros-humble-desktop python3-argcomplete

Install the colcon build tool

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sudo apt install python3-colcon-common-extensions

4. Configure the Environment

  • If you are using a different version of ROS2, replace the "humble" version identifier with the corresponding version. For example, for the foxy version, replace "humble" with "foxy" in the command.

When executing ROS2 programs in a terminal, you need to run the following command to configure the environment:

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source /opt/ros/humble/setup.bash

You must execute the above command each time you open a new terminal. Alternatively, you can run the following command to add the environment configuration instructions to the "~/.bashrc" file, eliminating the need to manually configure the environment each time you start a new terminal.

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

At this point, ROS2 has been installed and configured.

5. Run the publisher and subscriber example nodes

The ROS2 desktop version has integrated some example nodes. You can test whether ROS2 is successfully installed 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

6. Run and experience the turtle example

The turtle simulator, TurtleSim, is a classic teaching tool in ROS. It helps you quickly understand core ROS concepts.

  • Run the turtle simulator
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ros2 run turtlesim turtlesim_node
  • Run the 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

7. Uninstallation

After installing ROS2, if you want to uninstall it, you can execute the following command:

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

You can also delete the ROS2 repository:

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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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