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MicroROS V2 Robot Car📖
01.Introduction
  • 0.Unboxing Video
  • 1. Readme Learning Route
  • 2. Must Read Before Use
  • 3. Introduction to MicroROS V2 Control Board
  • 4. Introduction to LiDAR
  • 5. Introduction to ESP32 Camera Module
  • 6. FAQ
  • 7. About Charging
02.Assembly course
  • Assembly Video
03.Preparation
  • 1. Quickly Start
  • 2. Write Firmware
  • 3. Install VM and Start System
  • 4. Configure VM and Connect Robot
  • 5. Connect to MicroROS Agent
04.Quick start control course
  • 1. VM Keyboard Remote Control
  • 2. VM Handle Remote Control
  • 3. USB Handle Control
05.Robot control course
  • 1. Robot Information Release
  • 2. Robot Keyboard Control
  • 3. Robot Handle Control
  • 4. Robot State Estimation
  • 5. Linear Speed Calibration
  • 6. Angular Velocity Calibration
  • 7. Robot URDF Model
06.Lidar course
  • 1. Precautions for LiDAR Mapping and Navigation
  • 2. Lidar Avoid
  • 3. Lidar Following
  • 4. Lidar Guard
  • 5. Lidar Patrol
  • 6. Gmapping Mapping
  • 7. Cartographer Mapping
  • 8. Cartographer Quickly Repositioning Navigation
  • 9. Slam Toolx Mapping
  • 10. Navigation2 Single Point Navigation
  • 11. Navigation2 Multi Point Navigation
  • 12. Ros Robot App Mapping And Navigation
07.Road network planning
  • 1. Introduction to Road Network Planning and Quick Start
  • 2. Build a Pose Map
  • 3. Road Network Annotation
  • 4. Planning and Navigation Between Road Networks
  • 5. Road Network Navigation in Any Pose
  • 6. Path Replanning
08.Vision basic course
OpenCV Image Processing
  • 1. Introduction to OpenCV Source CV
  • 2. Open Source CV Geometric Transformation
  • 3. Open Source CV Image Processing and Drawing Text Line Segments
  • 4. Open Source CV Image Beautification
09.Visual General Course (For Standard&Superior version)
4. Yolov11&26 Visual Recognition
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Prediction
1. ESP32 Visual Recognition Module Configuration
  • 1. Serial Port Configuration WiFi Instructions
  • 2. Use ESP32 Camera Module in Robot Car
  • 3. Servo PTZ Calibration
2. OpenCV Visual Recognition
  • 1. Human Pose Estimation
  • 2. Object Detection
  • 3. AR Vision
  • 4. QR Code
  • 5. Color Recognition
  • 6. Facial Recognition
  • 7. AprilTag Machine Code Recognition
3. Mediapipe Visual Recognition
  • 1. Hand Detection
  • 2. Pose Detection
  • 3. Holistic Detection
  • 4. Facial Detection
  • 5. Facial Recognition
  • 6. Facial Special Effects
  • 7. 3D Object Recognition
  • 8. Brush
  • 9. Gesture Recognition
  • 10. Palm Target Localization
  • 11. Fingertip Trajectory Recognition
10.Visual Advanced Course (Just for Standard version)
1. Visual Control
  • 1. QR Code Recognition Control Action
  • 2. AprilTag Control Car Action Group
  • 3. Gesture Control Car Action Group
  • 4. Visual Line Tracking
2. Visual Tracking
  • 1. Color Tracking
  • 2. Facial Tracking
  • 3. QR Code Tracking
  • 4. Object Recognition And Tracking
  • 5. Mediapipe Palm Tracking
  • 6. Mediapipe Gesture Tracking
  • 7. Mediapipe Human Pose Tracking
  • 8. KCF Object Tracking
  • 9. AprilTag Machine Code Tracking
3. Visual Following
  • 1. Color Follow
  • 2. Face Follow
  • 3. QR Code Follow
  • 4. Mediapipe Palm Follow
  • 5. Mediapipe Gesture Follow
  • 6. Mediapipe Human Posture Follow
  • 7. AprilTag Machine Code Follow
  • 8. Object Follow
11.Visual Advanced Course (Just for Superior version)
1. Visual Control
  • 1. QR Code Recognition Control Action
  • 2. AprilTag Control Car Action Group
  • 3. Gesture Control Car Action Group
  • 4. Visual Line Tracking
2. Visual Tracking
  • 1. Color Tracking
  • 2. Facial Tracking
  • 3. QR Code Tracking
  • 4. YOLO Object Recognition and Tracking
  • 5. Mediapipe Palm Tracking
  • 6. Mediapipe Gesture Tracking
  • 7. Mediapipe Human Pose Tracking
  • 8. KCF Object Tracking
  • 9. AprilTag Machine Code Tracking
3. Visual Follow
  • 1. Color Follow
  • 2. Face Follow
  • 3. QR Code Follow
  • 4. Mediapipe Palm Follow
  • 5. Mediapipe Gesture Follow
  • 6. Mediapipe Human Pose Follow
  • 7. AprilTag Machine Code Follow
  • 8. Object Follow
12.AI Large Model Basic and Applications Course
1. AI Large Model Preparation
  • 1.AI Large Model Preparation
2. AI Large Model Basic Course
  • 1. AI Large Model Types and Principles
  • 2. RAG Retrieval Augmented and Training Samples
  • 3. Embodied Intelligent System Architecture
  • 4. Embodied Intelligence Core Source Code
3. AI Large Model Development
  • 1. Register Model Service Account
  • 2. Configure API KEY
  • 3. Dify Introduction
  • 4. Dify Basic Features
  • 5. RAG Knowledge Base Deployment
  • 6. AI Application Development Chatbot
  • 7. RAG Knowledge Base and Chatbot
  • 8. AI Agent Workflow
4. AI Large Model (Text Version)
  • 1. Semantic Understanding and Instruction Following
  • 2. Multimodal Visual Understanding
  • 3. Multimodal Visual Understanding + Basic Control
  • 4. Multimodal Visual Understanding + Object Following
  • 5. Multimodal Visual Understanding + Visual Line Following
  • 6. Multimodal Visual Understanding + SLAM Navigation
  • 7. Multimodal Visual Understanding + SLAM Navigation + Visual Line Following
  • 8. Multimodal Visual Understanding + SLAM Navigation + Object Following
  • 9. Intent Inference + Multimodal Visual Understanding + SLAM Navigation
13.Openclaw Basics Course
  • 1. Openclaw Introduction
  • 2. Openclaw Core Concepts
  • 3. Openclaw Api-Key Configuration
  • 4. Openclaw Switching Models
  • 5. Openclaw System Prompt
  • 6. Openclaw Common CLI Command
14. Openclaw Interaction Course
  • 1. Openclaw Webchat Interaction
  • 2. Openclaw Tui Interaction
  • 3. Openclaw Whatsapp Interaction
15.Openclaw Development Course
  • 1. Openclaw Robot Mcp Service Integration
  • 2. Robot CLI Command Tools
  • 3. Robot-Control Plugin Tools
  • 4. Openclaw Skills Development
  • 5. Openclaw Scheduled Tasks
  • 6. Openclaw Multi Agent System
  • 7. Openclaw Proactive Interaction
  • 8. Openclaw Vector Memory
16.Openclaw Embodied Intelligence Course
  • 1. OpenClaw Natural Interaction + Basic Control
  • 2. OpenClaw Natural Interaction + Slam Navigation
  • 3. OpenClaw Natural Interaction + Multimodal Visual Understand
  • 4. OpenClaw Natural Interaction + Multimodal Visual Understand + Slam Navigation + Visual Follow
  • 5. OpenClaw Natural Interaction + Multimodal Visual Understand + Slam Navigation + Visual Track
17.Multi-machine Course
  • 1. Multi Machine Handle Control
  • 2. Multi Machine Keyboard Control
  • 3. Multi Machine Navigation
18.MicroROS-V2 Control Board Development Environment
  • 1. Set Up the ESP32-IDF Development Environment
  • 2. ESP32-IDF Configuration Tool
  • 3. ESP Flash Tool Flashing Firmware
  • 4. Install ESP32 Microros Components
  • 5. Install And Start Microros Agent
19.MicroROS-V2 Control Board ESP32 Basic Course
  • 1. Led Light Up
  • 2. Button Function
  • 3. Drive Buzzer
  • 4. Oled
  • 5. Usb Host Function
  • 6. Serial Communication
  • 7. Battery Voltage Detection
  • 8. Drive Pwm Servo
  • 9. Drive Motors
  • 10. Read Motor Encoder Data
  • 11. Pid Motor Speed Control
  • 12. Robot Kinematics Analysis Theory
  • 13. Read Imu Data
  • 14. Read Lidar Data
  • 15. Flash Data Storage
  • 16. Custom Partition Table
  • 17. Bluetooth Communication
  • 18. Wifi Connection
  • 19. ESP32 Visual Recognition Module
20.MicroROS-V2 Control Board Micro_ros Basic Course
  • 1. Publish Topics
  • 2. Subscribe To Topics
  • 3. Multi Topic Subscription And Publishing
  • 4. Subscribe To Buzzer Topic
  • 5. Subscribe To Pwm Servo Topic
  • 6. Subscribe To Speed Control Topic
  • 7. Publish Odometry Topic
  • 8. Publish Imu Data Topic
  • 9. Publish Lidar Data Topic
21. 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
22.Docker Course
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
23.ROS 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
  • Mapping_APP(iOS_Android)
  • Code
  • Software_Tools
  • VM_System_File
  • 3D_Model_File
  • ESP32_Firmware
  • Dify LLM Base
  • Instruction_Manual
  • VMware
Download ZIP

Welcome to MicroROS V2 Robot Car repository

3. Robot-Control Plugin Tools

robot-control Plugin Tools

robot-control Plugin Tools1. Course ContentCourse OverviewLearning Objectives2. Preparation3. OpenClaw Plugins4. Introduction to the robot-control Plugin5. Plugin Tool Management6. Source Code Analysis6.1 Plugin Entry Point and Tool Registration6.2 MCP Client Communication

1. Course Content

Course Overview

  • The robot-control plugin is the core robot control plugin of OpenClaw. As a bridge between OpenClaw AI and robot hardware, it converts users' natural language instructions into specific robot operation commands through the MCP protocol.

Learning Objectives

  1. Understand the role and functional positioning of the robot-control plugin in the OpenClaw framework
  2. Master the installation, viewing, and basic management operations of the plugin
  3. Be able to manage and call robot control tools through the OpenClaw WebChat interface

[!IMPORTANT]

The demo in this lesson uses the pan-tilt camera version vehicle as an example; the MCP and CLI tool types may differ slightly across different vehicle versions

2. Preparation

ros2 launch microros_v2_bringup openclaw_service.launch.py

image-20260724111048244

 

3. OpenClaw Plugins

  • Plugin function introduction: The OpenClaw plugin system is a functional extension mechanism of the OpenClaw platform. By installing different plugins, you can add various capabilities to OpenClaw. Currently, the core plugins related to robot control include:
  • Robot-Control Plugin: The core robot control plugin, providing all robot operation functions such as chassis movement, robotic arm control, visual recognition, and navigation and positioning
xxxxxxxxxx
openclaw plugins list
  • In the plugin list, Robot-Control is the plugin used to control the robot with OpenClaw

image-20260724115704209

4. Introduction to the robot-control Plugin

The robot-control plugin is the core robot control plugin. Its working principle is as follows:

  • Communication mechanism: After the LLM in OpenClaw parses the user's natural language instructions, it calls the MCP protocol interface through the robot-control plugin, passes the instructions to the MCP server, and the MCP server then controls the robot hardware to perform actions through the ROS2 communication stack

 

5. Plugin Tool Management

  • Log in to the OpenClaw WebChat interface, then select Agent — Tools in sequence

image-20260429161543158

 

  • Scroll down to find the robot-control plugin tool list to view and manage all plugin tools

    • All plugin functions of robot-control are enabled by default at the factory (corresponding to the MCP and CLI interfaces). If you need to manually disable a tool, click to turn off the corresponding tool, click Save, and restart the OpenClaw gateway

image-20260724115843527

 

  • You can directly ask OpenClaw to view the currently available robot control tools

image-20260724120908062

 

6. Source Code Analysis

6.1 Plugin Entry Point and Tool Registration

Source Code Directory:

xxxxxxxxxx
$HOME/.openclaw/extensions/robot-control/index.ts

The plugin source code is located in index.ts in the plugin directory. It uses the registerRobotControlTools function as the entry point and uses the OpenClaw Plugin SDK to register all robot control tools. Take the Move (chassis movement) tool as an example:

​x
export default function registerRobotControlTools(api: OpenClawPluginApi) {
  // Load the SeeWhat channel config at startup
  void loadSeeWhatConfig(api.config as Record<string, unknown> | undefined);
​
  api.registerTool(
    {
      name: "Move",
      label: "Move",
      description: "Control the robot's chassis to move a specified distance.",
      parameters: MoveSchema,
      async execute(_toolCallId, params) {
        try {
          const args = buildArgs({ "distance": params.distance, "direction": params.direction });
          const result = await callRobotControl("Move", args);
          return json(result);
        } catch (err) {
          return json({ error: err instanceof Error ? err.message : String(err) });
        }
      },
    },
    { name: "Move" },
  );
  // ... registration of other tools
}

Code explanation:

  1. api.registerTool(): The tool registration method provided by the SDK; it takes a tool definition (name, description, parameters Schema, execute function) and metadata
  2. Parameters Schema: Uses Type.Object() from @sinclair/typebox to define the parameter structure and constraints
  3. Execute function: buildArgs converts the parameters into CLI format, and callRobotControl calls the robot control interface

6.2 MCP Client Communication

The plugin internally encapsulates the McpClient class, which communicates with the MCP server through the HTTP protocol using JSON-RPC:

xxxxxxxxxx
const MCP_ENDPOINT = "http://localhost:8000/mcp";
​
class McpClient {
  private sessionId: string | null = null;
  private initialized = false;
​
  async ensureInitialized(): Promise<void> {
    if (this.initialized) return;
    await this.sendRequest("initialize", {
      protocolVersion: "2025-03-26",
      capabilities: {},
      clientInfo: { name: "openclaw-plugin", version: "1.0.0" },
    });
    await this.sendNotification("notifications/initialized");
    this.initialized = true;
  }
​
  async callTool(name: string, args: Record<string, unknown>) {
    await this.ensureInitialized();
    return await this.sendRequest("tools/call", { name, arguments: args });
  }
}

Code explanation:

  1. McpClient: Maintains the MCP session state. It is automatically initialized on the first call and sends tool call requests through the JSON-RPC protocol
  2. callRobotControl helper function: Encapsulates the complete tool call flow and converts CLI-style parameters into the MCP parameter format
Robot CLI Command Tools
Openclaw Skills Development

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