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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

1. Serial Port Configuration WiFi Instructions

Serial Port WiFi Configuration Guide

1. Experiment Purpose

Connect to the control board over the serial port and use the configuration script to configure both the control board WiFi and the ESP32 camera module WiFi in one go.

2. Experiment Principle

1. Key Term Explanation

KeywordDescription
Serial port configurationCommunicates with the ESP32-S3 control board over the USB virtual serial port (UART) and sends binary configuration frames
Configuration frame protocolA custom binary protocol: frame header (0xFF) + device ID (0xF8) + payload length + command code + payload + checksum
NVSNon-Volatile Storage, the non-volatile storage of the ESP32 where parameters such as the WiFi password are persisted
config windowA configuration window of about 2 seconds after the firmware powers up; configuration commands are accepted only during this window
CAMERA_CONFIG_NOWA dedicated protocol command relayed through the control board serial port that sends the WiFi information down to the ESP32 camera module

2. Technical Architecture

The configuration flow is relayed through the control board, so there is no need to connect the camera module directly:

PC (config_robot.py)
  │ USB serial port (/dev/ttyUSB0 or /dev/microros_board)
  ▼
ESP32-S3 control board (firmware config window)
  │ UART2
  ▼
ESP32 camera module (receives the WiFi config and connects)

Data flow: config_robot.py sends binary command frames over the serial port → the control board firmware parses them and writes to NVS / forwards them to the camera module → the camera module connects to WiFi and returns its IP → the script reads back the IP address with the CAMERA_QUERY_IP_NOW command.

3. Experiment Steps

1. Hardware Preparation

HardwareRequirement
PTZ version✅ Supported
No-PTZ version✅ Supported
Required peripheralsESP32 vision module, Type-C data cable

2. Prerequisites

  1. The control board is connected to the virtual machine via a Type-C data cable
  2. The camera module is installed on the car and connected to the control board with a ribbon cable
  3. Confirm that the serial device exists: ls -l /dev/microros_board has output

3. Edit the Configuration Parameters

Editable parameters:

ParameterDefaultDescriptionAdjustment Suggestion
main_wifi_ssidSSIDThe Wi-Fi name the robot main controller connects toChange it to an available 2.4G Wi-Fi; the ESP32-S3 does not support 5G Wi-Fi
main_wifi_passwdPASSWORDThe Wi-Fi password the robot main controller connects toMust correspond to the Wi-Fi name above
agent_ip_addr[192, 168, 33, 146]The IP address of the computer/virtual machine running the micro-ROS AgentChange it to the real IP of the virtual machine or host on the same LAN; keep the format as 4 numbers
agent_ip_port8090The UDP port of the micro-ROS AgentNo need to change by default; if a different port was specified when starting the Agent, keep it consistent here
ros_domain_id77ROS_DOMAIN_IDMust match the ROS_DOMAIN_ID in the virtual machine terminal
ros_namespace""ROS namespaceKeep it as an empty string for a single robot; fill it in only when multiple robots need to separate topics, e.g. "robot1"
servo_1_offset0S1 pan offset, in degreesFine-tune when the camera is not pointing straight ahead; positive corrects to the right, negative corrects to the left
servo_2_offset0S2 tilt offset, in degreesFine-tune when the camera pitch is off; positive corrects upward, negative corrects downward
motor_pid(1.8, 0.12, 0.0)Chassis motor speed loop PIDNormal users should not modify; change it only when motion control behaves abnormally and tuning is explicitly needed
imu_yaw_pid(2.4, 0.0, 0.16)Straight-line heading-hold PIDNormal users should not modify; change it only when the straight-line heading-hold performance needs optimization

Servo offset adjustment notes:

  • servo_1_offset adjusts the pan servo S1. When the camera points too far left, increase the value appropriately; when it points too far right, decrease the value appropriately.
  • servo_2_offset adjusts the tilt servo S2. When the camera points too low, increase the value appropriately; when it points too high, decrease the value appropriately.
  • It is recommended to make small adjustments of 1° ~ 3° each time, then re-run the configuration script and observe the effect.
  • If the actual assembly direction is opposite to the behavior described above, adjust the offset values in the opposite direction based on the actual movement direction.

4. Run the Configuration

4.1 Configure the Control Board Parameters

  • Double-click the RobotManager application icon on the virtual machine desktop

    image-20260811121507975

  • Click the Control Board panel and fill in the WiFi name and password (make sure the board is on the same subnet as the virtual machine)

image-20260811121533824

  • Fill in agent_ip_addr with the virtual machine IP address; you can view the virtual machine IP address in the Info panel

image-20260811121554791

  • Click Apply Configuration to write the above parameters to the MicroRos control board

image-20260811121610377

  • Click Verify to confirm the parameters match, and the control board parameter configuration is complete

image-20260811121639110

  • Press the button on the right side of the control board to switch the OLED screen display and view the information

image-20260811121659768

self: the vehicle's own IP address, make sure it is on the same subnet as the virtual machine

agent: the virtual machine IP address written in the previous step

camera: the IP address of the image transmission camera

4.2 Configure the Vehicle Type and Camera IP in the Virtual Machine

  • In the host settings, open the CAR_TYPE dropdown list and select the corresponding vehicle model

image-20260811121944715

  • The vehicle model names are as follows:

image-20260811122018823

  • For the camera IP configuration, fill in the camera IP address shown on the vehicle's OLED screen

image-20260811122033672

  • Click Save Configuration, then press q or simply close the window to exit RobotManager

image-20260811122051464

Model Prediction
Use ESP32 Camera Module in Robot Car

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