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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.Robot CLI Command Tool

Robot CLI Command Tool

Robot CLI Command Tool1. Course ContentCourse OverviewLearning Objectives2. Preparation3. Introduction to the CLI Tool4. CLI Command Robot Control Communication Architecture5. Controlling the Robot via CLI5.1 CLI Command Summary5.2 Tools Supported by Different Camera Vehicle Models5.3 Command Format6. Case Demonstration7. Source Code Analysis

1. Course Content

Course Overview

  • This lesson explains the use of the robot CLI (Command Line Interface) command tool. Through the command-line interface, users can directly control the robot chassis movement, visual recognition, and various other functions.

  • The CLI command tool encapsulates all MCP Tool interfaces, allowing you to quickly operate the robot without relying on an AI model, which facilitates function testing and debugging.

Learning Objectives

  1. Understand the functional positioning and application scenarios of the robot CLI command tool

  2. Become familiar with CLI command functions, parameters, and usage formats

Important

This lesson uses the depth camera (hp60c) as an example model for demonstration. The MCP and CLI tools of vehicle models with different hardware versions may vary slightly.

2. Preparation

ros2 launch yahboomcar_bringup mcp_service.launch.py use_camera:=true

image-20260907113011659

 

3. Introduction to the CLI Tool

The robot CLI (Command Line Interface) control tool is a command-line-based robot control interface. It calls the various robot control tools registered on the MCP server through the robot_control command. It encapsulates the robot's low-level control interfaces, converting complex ROS2 communication into concise command-line instructions. You only need to enter a command in the terminal to control the robot to perform various actions.

image-20260429154300672

 

4. CLI Command Robot Control Communication Architecture

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                                                        ┌─────────────┐
                                                        │  CLI tool   │
                                                        └──────┬──────┘
                                                               │MCP protocol
                                                               ▼
                                                        ┌─────────────┐
                                                        │  MCP server │
                                                        └──────┬──────┘
                                                               │
                                                               ▼
                                                        ┌─────────────┐
                                                        │ ROS2 stack  │
                                                        │ topic/svc/  │
                                                        │   action    │
                                                        └──────┬──────┘
                                                               │
                                                               ▼
                                                        ┌─────────────┐
                                                        │  Hardware   │
                                                        │   driver    │
                                                        └──────┬──────┘
                                                               │
                                                               ▼
                                                        ┌─────────────┐
                                                        │   Robot     │
                                                        │  hardware   │
                                                        └─────────────┘

 

5. Controlling the Robot via CLI

5.1 CLI Command Summary

  • Use robot_control list-tools to view the list of all available CLI commands.

xxxxxxxxxx
robot_control list-tools

image-20260907113104848

 

  • Below is a summary of all CLI commands:

CommandParameterFunctionCamera Type
list_toolsNoneList all tools currently available on the serverGeneral (tool type)
MoveWithSpeed--linear_x, --linear_y, --angular_z, --durationControl the omnidirectional chassis movement with velocity commands (linear velocity / angular velocity + duration)General
Move--value, --directionControl the chassis to move a specified distance or rotate a specified angle. value is the distance (meters) or angle (degrees); direction can be: forward, backward, left, right, turn_left, turn_rightGeneral
GetCurrentArmJointAnglesNoneGet the current joint angles of the robotic armGeneral
ControlSixArmJoint--arm_joint_1~--arm_joint_6, --runtimeControl the 6 joints of the robotic arm simultaneously; the 6th joint is the gripper angle [0,180] (180=fully open, 0=fully closed)General
ControlSingleArmJoint--arm_joint_id, --angle, --runtimeSet a single joint of the robotic arm to a specified angle (id 1-6, the 6th is the gripper)General
AdjustCameraView--pitch, --yawAdjust the camera view and return the adjusted image. pitch positive=up/negative=down, yaw positive=right/negative=left; a step of 5-10 degrees is recommendedGeneral
SeeWhatNoneCapture a frame of image and return the saved pathGeneral
InitArmPoseNoneRestore the robotic arm to the preset initial poseGeneral
GetBbox--queryDetect and return the bounding box (bbox) coordinates of the target object based on a text descriptionGeneral
AdjustChassisFitArmRange--x, --y, --zQuickly adjust the mobile chassis so that the target point enters the robotic arm's working rangeGeneral
RecordMapLocation--name, --symbolSave the current position to the map mapping fileGeneral
GetMapMappingNoneGet the mapping between all place names and their corresponding symbolsGeneral
Navigation--locationNavigate to the target position via the position symbol in the map mapping fileGeneral
TTS--textRobot text-to-speech broadcastGeneral
TargetTrack--x1_or_cmd, --y1, --x2, --y2Target object visual tracking; pass cancel to x1_or_cmd to stop tracking, or pass an integer to use it as the bbox x1 to start trackingGeneral
GraspArUcoTarget--target_idGrasp the object marked with an AprilTag by recognizing its AprilTag IDGeneral
GetAprilTagIDsNoneGet the IDs of all AprilTags currently in viewGeneral
FollowLine--colorDrive along a colored line on the ground. color can be: red, green, blue, yellowGeneral
Place--place_x, --place_y, --place_zPlace the object at the specified XYZ coordinatesDepth camera only
Pick--x1, --y1, --x2, --y2Grasp the object according to the bbox coordinates of the target objectDepth camera only
GetPlacePoint--queryCalculate the placement point coordinates and determine whether it is within the robotic arm's reachable workspaceDepth camera only
GetWasteRecognitionResultsNoneGet the waste recognition results of the YOLO modelDepth camera only
GraspWaste--waste_nameGrasp the waste object with the specified name in the recognition resultsDepth camera only
PlaceWasteNonePlace the waste object that has been graspedDepth camera only
GetTargetDist--queryGet the distance from the target to the robot based on the object descriptionDepth camera only
GraspColor--colorGrasp a color block by color. color can be: red, green, blue, yellowUSB camera only
PutDownNonePut down the currently grasped object: move to the put-down pose → open the gripper to release → return to the initial poseUSB camera only

5.2 Tools Supported by Different Camera Vehicle Models

  • Chassis movement: MoveWithSpeed, Move, AdjustChassisFitArmRange

  • Robotic arm control: GetCurrentArmJointAngles, ControlSixArmJoint, ControlSingleArmJoint, InitArmPose

  • Vision / camera: AdjustCameraView, SeeWhat, GetBbox, TargetTrack

  • Navigation / map: RecordMapLocation, GetMapMapping, Navigation, FollowLine

  • AprilTag: GraspArUcoTarget, GetAprilTagIDs

  • Voice: TTS

  • Depth camera only (7): Place, Pick, GetPlacePoint, GetWasteRecognitionResults, GraspWaste, PlaceWaste, GetTargetDist

  • USB camera only (2): GraspColor, PutDown

 

5.3 Command Format

All CLI commands follow a unified command format:

xxxxxxxxxx
robot_control call-tool <command_name> --param1 <value1> --param2 <value2> ...
  • robot_control: the main CLI tool command

  • call-tool: indicates the tool invocation subcommand

  • <command_name>: the specific tool name registered on the MCP server, such as Move, SeeWhat, TTS, etc.

  • --param <value>: the parameter key-value pairs passed as needed; different commands have different numbers and types of parameters

6. Case Demonstration

  • Move the robot chassis forward 0.5 meters

xxxxxxxxxx
robot_control call-tool Move --value 0.5 --direction forward

image-20260724112930552

  • Capture the environment image

xxxxxxxxxx
robot_control call-tool SeeWhat

image-20260907115803362

Note

When the SeeWhat tool is called, the image is automatically saved to $HOME/yahboomcar_ros2_ws/yahboomcar_ws/cache/image.png

 

7. Source Code Analysis

Source code path:

xxxxxxxxxx
~/yahboomcar_ros2_ws/yahboomcar_ws/src/robot_util/cli/robot_control

The source code of the CLI tool registers each robot control function as an MCP Tool through the register_actions() function in mcp_action.py. Here, the Move (move the chassis a specified distance) tool is used as an example for the source code explanation:

xxxxxxxxxx
@call_tool_app.command(name='Move')
async def Move(
    *,
    direction: Annotated[str, cyclopts.Parameter(help="Movement direction: 'forward', 'backward', 'turn_left', or 'turn_right'")],
    distance: Annotated[float, cyclopts.Parameter(help="Linear movement distance in meters. Only used when direction is 'forward' or 'backward'. Set to 0.0 for rotation.")] = 0.0,
    angle: Annotated[float, cyclopts.Parameter(help="Rotation angle in degrees. Only used when direction is 'turn_left' or 'turn_right'. Set to 0.0 for linear movement.")] = 0.0,
) -> None:
    '''Move the robot chassis by a specified distance or rotate by a specified angle using odometry feedback.'''
    await _call_tool('Move', {'direction': direction, 'distance': distance, 'angle': angle})

Code explanation:

  1. @call_tool_app.command(name='Move'): uses the cyclopts framework to register the function as a CLI subcommand; name defines the command name, corresponding to the tool name registered on the MCP server

  2. Function parameters: CLI parameters are defined through Annotated type annotations + cyclopts.Parameter, and help sets the parameter description. direction is a required parameter, while distance and angle are optional parameters with a default value of 0.0

  3. _call_tool: a unified tool invocation function that connects to the MCP server internally through fastmcp.Client, filters the parameters and sends them to the server for execution, then prints the returned result

Parameter description:

  • direction: required parameter, movement direction, possible values: forward, backward, turn_left, turn_right

  • distance: optional parameter, linear movement distance, unit: meters, only used for the forward/backward directions, default value 0.0

  • angle: optional parameter, rotation angle, unit: degrees, only used for the turn_left/turn_right directions, default value 0.0

  • Annotated[type, cyclopts.Parameter(help)]: the cyclopts type annotation, which adds help information for each CLI parameter so that users can view the parameter description by executing --help in the terminal

  • *: forces subsequent parameters to be passed by name (i.e., the --param value format must be used)

OpenClaw Connecting to Robot MCP Service
robot-control Plugin Tool

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