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ROSMASTER M1 PRO📖
0.Robot Configuration and Operation Guidelines
  • 0.Unboxing and Review
  • 1.Assembly Videos
  • 2.User Manual
  • 3.Enter Docker (For Raspberry Pi)
  • 4.FAQ
  • 5.RobotManager User Guide
1.Chassis Control Course
  • 1.Robot Information Publishing
  • 2.Robot Handle Control
  • 3.Robot Keyboard Control
  • 4.Linear Velocity Calibration
  • 5.Angular Velocity Calibration
  • 6.Robot URDF Model
  • 7.Robot EKF State Estimation
2.Lidar Course
  • 1.Lidar Introduction And Use
  • 2.Lidar Obstacle Avoidance
  • 3.Lidar Following
  • 4.Lidar Guard
  • 5.Lidar Patrol
  • 6.GMapping-SLAM Mapping
  • 7.Cartographer-SLAM Mapping
  • 8.Slam-Toolbox Mapping
  • 9.Lifelong Mode Mapping
  • 10.Navigation2 Single Point Navigation
  • 11.Navigation2 Multi Point Navigation
  • 12.Cartographer Relocalization Navigation
  • 13.Slam-Toolbox Localization Navigation
  • 14.Synchronous Mapping And Navigation
  • 15.Aruco Visual Relocalization Navigation
  • 16.Mobile App Mapping And Navigation
3.USB Camera-Depth Camera Course
  • 1.USB Camera Introduction
  • 2.USB Camera Intrinsic Calibration
  • 3.Nuwa-HP60C Camera Introduction (Depth Camera Only)
  • 4.Depth Pseudo Color Image (Depth Camera Only)
  • 5.Depth Camera Distance Measurement (Depth Camera Only)
  • 6.Block Volume Calculation (Depth Camera Only)
  • 7.Edge Detection (Depth Camera Only)
  • 8.RTAB-Map SLAM Mapping (Depth Camera Only)
  • 9.RTAB-Map Navigation (Depth Camera Only)
4.Robotic Arm and 3D Space Gripping Course
  • 1.Robotic Arm Basic Usage
  • 2.Robotic Arm Kinematics
  • 3.Robotic Arm Chassis Coordination Control
  • 4.AprilTag ID Sorting
  • 5.AprilTag Height Anomaly Sorting
  • 6.AprilTag Tracking and Grasping
  • 7.Color Block Sorting
  • 8.Color Block Height Anomaly Sorting
  • 9.Color Block Tracking and Grasping
  • 10.Wood Block Shape Sorting
  • 11.KCF Tracking and Grasping Objects
  • 12.Mediapipe Gesture ID Sorting AprilTag
  • 13.Mediapipe Gesture Height Sorting AprilTag
  • 14.Desktop Tracking and Grasping AprilTag
  • 15.3D Spatial Tracking AprilTag
  • 16.Transformer Model Tracking Algorithm
  • 17.Line Following Obstacle Clearing
5.Road network planning and navigation
  • 1.Introduction To Road Network Planning
  • 2.Road Network Annotation
  • 3.Planning And Navigation Between Waypoints
  • 4.Road Network Navigation In Any Pose
  • 5.Path Re-planning
6.OpenClaw Basic Course
  • 1.Introduction to OpenClaw
  • 2.OpenClaw Core Concepts
  • 3.OpenClaw API-KEY Configuration
  • 4.OpenClaw Switch Models
  • 5.OpenClaw System Prompt Words
  • 6.OpenClaw Common CLI Commands
7.OpenClaw Interaction Method
  • 1.OpenClaw Webchat Interaction
  • 2.OpenClaw Tui Interaction
  • 3.OpenClaw Voice Dialogue Interaction
  • 4.OpenClaw WhatsApp Interaction
8.OpenClaw Development
  • 1.OpenClaw Connecting to Robot MCP Service
  • 2.Robot CLI Command Tool
  • 3.robot-control Plugin Tool
  • 4.reply-bridge Plugin Tool
  • 5.OpenClaw Multimodal Vision
  • 6.OpenClaw Chassis Control
  • 7.OpenClaw Robotic Arm Control
  • 8.OpenClaw Skills Development
  • 9.OpenClaw Scheduled Tasks
  • 10.OpenClaw Multi-Agent Intelligent Agent
  • 11.OpenClaw Active Interaction
  • 12.OpenClaw Vector Memory
9.OpenClaw Embodied intelligent application
  • 1.OpenClaw Target Tracking
  • 2.OpenClaw Arm Tracking And Grasping
  • 3.OpenClaw Arm Fixed-point Placement
  • 4.OpenClaw Waste Sorting
  • 5.OpenClaw SLAM Mapping And Navigation
  • 6.OpenClaw Navigation Transport
  • 7.OpenClaw AprilTag Grasping
  • 8.OpenClaw Color Line Patrol
  • 9.OpenClaw Visual Distance Measurement
10.OpenClaw scenario sandbox
  • 1.Map Description and Props Placement
  • 2.Building the Sandbox Map
  • 3.Visual Relocalization Marker
  • 4.Map Mapping Marker
  • 5.Sandbox Scenario Comprehensive Case
11.AI Large Model Basics
  • 1.AI Large Model Types and Principles
  • 2.RAG Retrieval Enhancement and Model Training Samples
  • 3.Embodied Intelligent Robot System Architecture
  • 4.Embodied Intelligent Functions Core Source Code
12.AI large Model Development
  • 1.Register a Model Service Provider Account
  • 2.Configuring API-KEY
  • 3.Introduction to Dify
  • 4.Basic Dify Features
  • 5.AI Large Model Development - Chatbot
  • 6.Deploy the RAG Knowledge Base
  • 7.RAG Knowledge Base + Chatbot
  • 8.AI Agent Workflow
  • 9.Custom Wake-up Response
13.AI Model - Voice Version
  • 1.Semantic Understanding and Command Following
  • 2.Multimodal Visual Understanding
  • 3.Multimodal Visual Understanding and Robotic Arm Gripping
  • 4.Multimodal Visual Understanding and SLAM Navigation
  • 5.Robotic arm gripping+Multimodal visual understand+SLAM navigation
  • 6.Intention Understanding
14.AI Model - Text Version
  • 1.Semantic Understanding and Command Following
  • 2.Multimodal Visual Understanding
  • 3.Multimodal Visual Understanding and Robotic Arm Gripping
  • 4.Multimodal Visual Understanding and SLAM Navigation
  • 5.Robotic arm gripping+Multimodal visual understand+SLAM navigation
  • 6.Intention estimation
15.Mediapipe Visual Course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Facial Landmark Detection
  • 5.Face detection
  • 6.Face special effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Palm target positioning
  • 11.Fingertip trajectory recognition
  • 12.Fingertip gesture control robotic arm
  • 13.Gesture grabbing and releasing objects
  • 14.Finger control robotic arm
  • 15.Medipipe gesture control robotic arm action group
16.MoveIt2 Simulation Course
  • 1.MovelT2 configuration
  • 2.MovelT2 simulation-reality linkage
  • 3.Random movement
  • 4.Forward kinematics design
  • 5.Inverse kinematics design
  • 6.Cartesian path
  • 7.Trajectory Planning
  • 8.Collision Detection
  • 9.Scene Design
  • 10.3D perception obstacle‑avoidance
17.Multi-vehicle Course
  • 1.Multi-vehicle Control
  • 2.Multi-vehicle Navigation
  • 3.Multi-vehicle Formation
18.YOLO26 Development
  • 1.CLI Use
  • 2.Object Detection
  • 3.Instance Segmentation
  • 4.Pose Estimation
  • 5.Image Classification
  • 6.Oriented Object Detection
  • 7.YOLOv26 + DeepSORT Tracking
  • 8.Monocular Depth Estimation
19.Control Board STM32 Driver Course
  • 0.Notes (Must Read)
  • 1.About Expansion Board
  • 2.STM32 Development Environment
  • 3.Button Control
  • 4.FreeRTOS Application
  • 5.Serial Communication
  • 6.SBUS Model Aircraft Remote Control
  • 7.CAN Bus Communication
  • 8.RGB Colorful Light Bar
  • 9.Timer Interrupt to Control PWM Servo
  • 10.Control Serial Port Servos
  • 11.Nine-axis Attitude Sensor to Obtain Data
  • 12.Control Motor
  • 13.Timer Captures the Encoder Data
  • 14.1 Kinematic Analysis of Mecanum Wheel
  • 14.2 Kinematic Analysis of Ackerman
  • 14.3 Kinematic Analysis of 4WD
  • 15.PID Control Robot Movement
20.Docker Course
  • 1.Docker Introduction and Installation
  • 2.Docker Basic Commands
  • 3.Docker Submission and Multi-Terminal Access
  • 4. Docker Startup Script
  • 5.Docker-Vscode Environment Construction
21.Image Processing Basics Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Image cutting
  • 8. Image translation
  • 9. Image Mirroring
  • 10. Affine Transformation
  • 11. Image Rotation
  • 12. Perspective Transformation
  • 13. Grayscale processing
  • 14. Image Binarization
  • 15. Edge Detection
  • 16. Line drawing
  • 17. Rectangle and circle drawing
  • 18. Drawing text and pictures
22.Linux System Course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
23.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
24.Main Control Course
Jetson Orin Nano_NX
  • 1.Jetson Orin board introduction
  • 2.Restore the factory image system
  • 3.Backup SSD system
  • 4.SSD expansion
  • 5.Network configuration
  • 6.SSH remote login
  • 7.VNC remote control
  • 8.Remote file transfer
  • 9.Jtop tool
  • 10.Exchange space expansion
Raspberry Pi
  • 1. Introduction to Raspberry PI 5
  • 2. Raspberry PI system installation and backup
  • 3. Powering the Raspberry PI 5
  • 4. Startup of Raspberry PI 5
  • 5. Update and upgrade operating system
  • 6. Introduction to raspi-config tool
  • 7. config.txt file description
  • 8. Network Configuration
  • 9. remote access
  • 10. Transfer files remotely
  • 11. Set display resolution and rotation
  • 12. Set screen to sleep
  • 13. Play audio and video
  • 14. Using USB camera
  • 15. Using MIPI camera
  • 16. Get real-time temperature of Raspberry Pi
RDKX5
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Network configuration
  • 6.Remote login
  • 7.Update system
  • 8.srpi-config user guide
  • 9.config. txt configuration file
  • 10.Self-startup setting
  • 11.RDK exclusive command usage
  • 12.Linux command usage
  • 13.GPIO readwrite operation
  • 14.Image classification algorithm
  • 15.Use USB camera
  • 16.Use MIPI camera
  • 17.Binocular camera depth algorithm
  • 18. Controlling RGB Cooling Fans
Download
  • System File
  • Code
  • 3D Model File
  • Software Tools
  • Hardware_Info
  • Deb function package
  • Dify AI Agent
Download ZIP

Welcome to ROSMASTER M1 PRO repository

2.User Manual

ROSMASTER-M1PRO User Manual

ROSMASTER-M1PRO User Manual0. Preparation1. First-Time Use1.1 Entering the Configuration Wizard1.2 Selecting the Hardware Configuration1.3 Quick Start of Joystick Control2. How to Connect to the Car2.1 VNC Connection2.2 SSH Connection3. Connecting the Car to Wi-Fi3.1 How to Obtain the Car's IP Address3.2 Connecting the Car to an External Wi-FiMethod 1: Plug in an Ethernet cable and connect via the VNC GUI (recommended)Method 2: Without an Ethernet cable, configure Wi-Fi via the hotspot IP and set the Wi-Fi priority for auto-connect4. Tutorial Symbol Description5. Viewing Source Code and Compiling Packages5.1 Viewing the Code5.2 Compiling Packages

0. Preparation

  • Refer to 【Robot Configuration and Operation Guide — Assembly Videos】 to complete the assembly of the car's components and power on the car

  • If you selected the configuration Raspberry Pi mainboard + Slamtec C1 LiDAR, you first need to connect to the car by referring to 2.1 VNC Connection, bind the LiDAR's rule file, and then continue with the following steps. Other bundles can skip this step

sh ~/yahboomcar_ros2_ws/software/library_ws/src/sllidar_ros2/scripts/create_udev_rules.sh

image-20261020203116027

  • After the prompt above appears, unplug and replug the Slamtec C1 LiDAR to complete the device port rule binding

 

1. First-Time Use

1.1 Entering the Configuration Wizard

  • After the car finishes booting, the OLED screen shows the car's hotspot IP:192.168.1.11

    image-20260917181116261

  • Connect your phone or computer to the car's hotspot, open a browser, and go to the initial configuration wizard page:

    xxxxxxxxxx
    http://192.168.1.11:8080
  • You can switch the display language (Chinese/English) at the bottom of the page

image-20260916162358991

 

1.2 Selecting the Hardware Configuration

  • ROSMASTER-M1PRO provides different cameras 【depth camera, USB monocular camera】 and LiDARs 【Slamtec C1, Tmini Plus】. Select your own camera and LiDAR version in the configuration wizard

 

  • For LiDAR selection, choose your LiDAR model on the left, then click Connect Device

image-20260916205704710

 

  • If the device is wired correctly, a prompt will indicate that the device is connected successfully

image-20260916205834358

  • If it prompts that it is waiting for the device to be connected, check whether the device wiring is loose, or unplug and replug the device

image-20260916205928271

 

  • For camera selection, do the same: select the device on the left, then click Connect Device

image-20260916210141331

Note

The same applies to the other device pages. The remaining devices do not require model selection — just click Connect Device to determine whether the device harnesses are connected properly during assembly

  • Robot control board: click Connect Device

image-20260916210621900

 

  • Voice module: click Connect Device

image-20260916210849387

 

  • After completing the camera and LiDAR selection and confirming the device wiring is correct, click Save Configuration

image-20260917150608354

image-20260917150925197

 

1.3 Quick Start of Joystick Control

Tip

For first-time use, after completing the hardware configuration, plug the joystick receiver into the USB port of the upper host controller, then click Start Joystick Control

  • Plug the joystick receiver into the main control board. Once the joystick receiver shows it is ready, click Start Joystick Control

image-20260917151023303

 

  • Wait 1-2 minutes for the program to be ready. Press the START button on the joystick; after you hear a "beep-beep-beep" prompt, joystick control takes effect

image-20260917151221444

 

  • Follow the joystick key mapping instructions on the page to quickly try out joystick control

image-20260917162024509

  • You can click the key cards on the left or the visualized joystick buttons to quickly view the function of the corresponding button

image-20260917162427268

 

  • In subsequent use, you can also quickly start the joystick function via the launch icon in the VNC desktop. If it needs to work together with other features such as mapping and navigation, note that you must start the other programs first, and start the joystick control program last

image-20260917162224812

2. How to Connect to the Car

2.1 VNC Connection

Tip

  • There are many kinds of VNC connection tools. Here we give the recommended tool for Windows; macOS and Linux users can choose other VNC tools — the tool is not unique

  • On the first connection, you can connect your computer to the car's hotspot and then log in via the IP 192.168.1.11

  • VNC allows users to remotely access and control another computer's desktop environment over the network, so when we need to access the car's desktop environment — for example, to start image display — we can use VNC to log in to the car. The VNC download link is as follows: Download VNC Viewer by RealVNC®

Download and install according to your computer version. After successful installation, double-click to open it; the screen shown is as follows

image-20250725105127650

  • Enter the car's IP address. Here my IP address is 192.168.2.92, as shown below

image-20250725105232162

  • Then press Enter

image-20250725105315827

  • Enter the username in Username and the password in Password. The password for all mainboards is yahboom; then click OK to enter the desktop, as shown below

image-20260917181329333

 

2.2 SSH Connection

Note

There are many kinds of SSH connection tools. Here we give the recommended SSH tool for Windows; macOS and Linux users can choose other SSH tools

  • Connect to the car with PuTTY, MobaXterm, or another SSH login tool. Here PuTTY is used as an example; the PuTTY download link is as follows: Download PuTTY: latest release (0.83)

  • Choose and install according to your computer version. After successful installation, double-click to open it; the PuTTY interface is shown below

image-20250725102432201

Select SSH, then enter the IP address shown on the OLED in the Host Name(or IP address) field. Here my IP address is 192.168.2.92, so enter the IP address as shown below

image-20250725102719479

Then click Open, and you will enter a terminal window and a pop-up window. Click Accept to accept, as shown below

image-20250725102823043

 

  • The terminal then shows login as. Enter the username of the car's mainboard and press Enter; you will then be prompted for the password. Enter the password. The username and password for each mainboard are as follows:

MainboardUsernamePassword
Raspberry Pi 5piyahboom
RDK X5sunriseyahboom
Orin-Nanojetsonyahboom
Orin-NXjetsonyahboom

 

  • Here the Orin-Nano mainboard is used as an example. Enter jetson and press Enter, then enter the password. Nothing is displayed while you type the password; enter yahboom and press Enter

image-20250725103109017

The screen after successfully connecting to the car is shown below

image-20250725103601663

  • After that, you can operate the car through the SSH terminal. SSH is suitable for logging in when a graphical interface is not needed; it is much smoother than VNC and suitable for CLI command operations

 

3. Connecting the Car to Wi-Fi

Important

  • Whichever tool you use to connect to the car, the computer and the car must be on the same LAN

  • The factory auto-start hotspot cannot access the Internet. In normal use, the car connects to Wi-Fi, and you operate it from a computer on the same LAN

3.1 How to Obtain the Car's IP Address

  1. Check the OLED screen on the body directly (most intuitive):

    • After the car boots, the OLED screen on the body shows the IP address assigned to the current network interface (for example, 192.168.12.57 assigned by the router, or the built-in hotspot IP 192.168.1.11).

  2. Connect to the car's built-in hotspot (offline, no router needed):

    • On your computer, search for and connect to the car's hotspot ROSMASTER in the Wi-Fi list (password 12345678).

    • After a successful connection, the car's static IP is fixed at 192.168.1.11.

  3. Wired Ethernet connection (most recommended, most stable):

    • Plug one end of the Ethernet cable into the car's mainboard network port and the other end into the router. The car will automatically obtain a LAN IP via DHCP and display it on the OLED screen in real time.


3.2 Connecting the Car to an External Wi-Fi

The car's built-in hotspot has no Internet access. If you later need to use AI large models, install software packages online, or update the system, it is recommended to connect the car to your home router's Wi-Fi.

There are two common ways to connect to an external Wi-Fi:

Method 1: Plug in an Ethernet cable and connect via the VNC GUI (recommended)

  1. Plug a wired Ethernet cable into the car's mainboard, read the IP address from the OLED screen (for example 192.168.12.57), and log in to the car with VNC Viewer remote desktop (see section 2.1 for VNC login details). After a successful login, the desktop is shown below:

    image-20260908102409619

  2. Open the system settings (Settings) and go to the Wi-Fi settings page. First turn off the car's built-in hotspot so that the network adapter can scan for external Wi-Fi:

    image-20260908102824280

  3. Click the network icon in the upper-right corner of the desktop, and click Select Network in the drop-down menu:

    image-20260908102459564

  4. Select the name of the external Wi-Fi you want to connect to, enter the password, and click Connect:

    image-20260908102903365

    image-20260908102939533

  5. After a successful connection, the network icon shows as connected. Now unplug the Ethernet cable; the OLED screen will also update to your new Wi-Fi IP address. You can then use this new IP for remote connections.

    image-20260908103058211


Method 2: Without an Ethernet cable, configure Wi-Fi via the hotspot IP and set the Wi-Fi priority for auto-connect

If no router Ethernet cable is available, you can connect your computer directly to the car's default Wi-Fi hotspot:

  1. Connect your computer to the car's hotspot ROSMASTER (password 12345678), and use VNC Viewer to connect to the hotspot's default IP: 192.168.1.11.

    image-20260908103449753

  2. Open a terminal on the desktop and enter the network configuration tool command:

    xxxxxxxxxx
    nm-connection-editor

    image-20260908103614710

    image-20260908103624395

  3. In the Network Connections window that pops up, click 【+】 in the lower-left corner to create a new connection, select Wi-Fi as the connection type, and click Create:

    image-20260908103839080

  4. In the Wi-Fi tab, enter the SSID of the router Wi-Fi you want to connect to in the SSID field:

    image-20260908103936667

  5. Switch to the Wi-Fi Security tab, select WPA & WPA2 Personal as the security type, and enter the connection password of that Wi-Fi in the Password field:

    image-20260908104042006

    image-20260908104056036

  6. Switch to the General tab, check "Connect automatically", and increase the Priority value (for example, set it to 10; the larger the value, the higher the priority):

    image-20260908104231637

  7. Click Save in the lower-right corner. Likewise, you can double-click the hotspot connection in the list to view the hotspot's priority — as long as the external Wi-Fi's priority is higher than the hotspot's:

    image-20260908104307434

  8. After configuration, close the window and reboot the mainboard. On the next boot, the car will automatically connect to the configured external Wi-Fi first.

 

4. Tutorial Symbol Description

  • The ~ and $HOME symbols that appear in this tutorial represent the mainboard's user directory in Linux, for example

image-20260916201842799

  • The < xxx > symbol is a placeholder representing custom content

 

5. Viewing Source Code and Compiling Packages

Important

  • Visual Studio Code here is a recommended tool. If you have an IDE you prefer, you can use any tool.

  • Visual Studio Code is a lightweight, efficient, extensible IDE with core development tools integrated. Official site: https://code.visualstudio.com/

5.1 Viewing the Code

  • If Visual Studio Code is not installed, download and install it from the link above. Launch Visual Studio Code and click Extensions on the left — install the three remote connection extensions: Remote-SSH, Remote - SSH: Editing Configuration Files, and Remote Explorer

image-20260107173441245

 

  • Then click Remote Connection on the left — click New Remote

image-20260107174218199

  • In the input box that pops up, enter username@IP address according to your mainboard. After pressing Enter, enter the user password yahboom to log in to the car

image-20260107174323437

 

  • Then click Open Folder. In the window that pops up, you can select the folder you want to view — here yahboomcar_ros2_ws is used as an example — and then click OK.

image-20260916201537685

 

5.2 Compiling Packages

  • In the VS Code interface, press the shortcut Ctrl+Shift+B to open the build options window

image-20260917120450395

  • Two build modes are provided: linked build and normal build

    • Linked build: yahboomcar_bringup, yahboomcar_description, m1pro_moveit_config (after modifying the package's configuration files and launch files, the changes take effect directly without recompiling)

    • Normal build: other package source code must be compiled before it takes effect

 

  • After selecting a build option, select the function name to be compiled and press Enter to confirm; the command to compile the corresponding package will be executed automatically

image-20260917120902932

image-20260917120921151

 

Important

All configuration files and launch files in the yahboomcar_bringup package take effect immediately after being modified and saved, with no need to recompile. Compiling is only used when you have development needs and need to modify the source code

 

Assembly Videos
Enter Docker (For Raspberry Pi)

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