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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. Quickly Start

Quick Start

1. Course Content

Complete the initial configuration of the MicroROS-V2 development environment and be able to control the robot's movement with a gamepad or keyboard. This chapter covers:

  1. Starting the MicroROS_V2_VM virtual machine
  2. Configuring the robot Wi-Fi and micro-ROS Agent parameters
  3. Gamepad control (USB Host direct control / ROS2 topic control)
  4. Keyboard control

2. Preparation

2.1 Flashing the Firmware

Note: The firmware is already flashed at the factory, so this step can be skipped.

Use the flash_download_tool utility to flash the factory firmware (MicroROS-V2-v1.1.0-complete.bin) to the MicroROS-V2 control board (ESP32-S3).

Connect the control board to the computer with a USB data cable, open the flash_download_tool software, and flash the factory firmware.

image-20260811212124416

After configuring as shown in the image, click START to begin flashing. Set the firmware path according to your local actual path, and the port likewise.

image-20260811212133395

During flashing, wait for the progress bar to finish. When FINISH is displayed, the flashing is successful. At this point you can reset the main control board and the firmware will take effect.

2.2 Opening the Virtual Machine

The VMware platform can be installed by yourself.

Download address (the address may change; please refer to the official VMware website):

https://support.broadcom.com/group/ecx/productdownloads?subfamily=VMware%20Workstation%20Pro&freeDownloads=true

image-20260811212334375

Start the MicroROS-V2 virtual machine environment

image-20260811212250227

image-20260811212355059

2.3 Control Board Parameter Configuration

1. Modifying the Configuration Parameters

Modify the parameters in the custom mode in ~/workspaces/tools/config_robot.py according to your actual network.

Users should first confirm the Wi-Fi, Agent IP, Agent port, and ROS_DOMAIN_ID. Other parameters can remain at their default values and only need to be modified when calibrating the gimbal, adjusting the control effect, or configuring the camera.

ParameterDefault ValueDescriptionModification Suggestion
main_wifi_ssidSSIDWi-Fi name that the robot's main controller connects toChange to an available 2.4G Wi-Fi; the ESP32-S3 does not support 5G Wi-Fi
main_wifi_passwdPASSWORDWi-Fi password that the robot's main controller connects toMust match the Wi-Fi name above
agent_ip_addr[192, 168, 33, 146]IP of the computer/virtual machine running the micro-ROS AgentChange to the real IP of the virtual machine or host on the same LAN; keep the format of 4 numbers
agent_ip_port8090micro-ROS Agent UDP portNo need to change by default; if you specify a different port when starting the Agent, keep it consistent here
ros_domain_id77ROS_DOMAIN_IDMust be consistent with the ROS_DOMAIN_ID in the virtual machine terminal
ros_namespace""ROS namespaceKeep an empty string for a single robot; fill it in when multiple robots need to distinguish topics, e.g. "robot1"
servo_1_offset0S1 horizontal gimbal offset, in degreesFine-tune when the camera is not facing straight ahead; positive value turns right, negative value turns left
servo_2_offset0S2 tilt gimbal offset, in degreesFine-tune when the camera tilt angle deviates; positive value tilts up, negative value tilts down
motor_pid(1.8, 0.12, 0.0)Chassis motor speed-loop PIDDo not modify for ordinary users; only change when the motion control effect is abnormal and tuning is clearly needed
imu_yaw_pid(2.4, 0.0, 0.16)Straight-line heading-hold PIDDo not modify for ordinary users; only change when the straight-line holding effect needs optimization

2. Servo Offset Adjustment Instructions

  • servo_1_offset adjusts the horizontal gimbal S1. When the camera is facing too far to the left, appropriately increase the value; when the camera is facing too far to the right, appropriately decrease the value.
  • servo_2_offset adjusts the tilt gimbal S2. When the camera is facing too low, appropriately increase the value; when the camera is facing too high, appropriately decrease the value.
  • It is recommended to make small adjustments of 1° ~ 3° each time, and then re-run python3 ~/workspaces/tools/config_robot.py custom to observe the effect.
  • If the actual assembly direction is opposite to the above, take the actual motion direction as the standard and adjust the offset value in the opposite direction.

3. Parameter Configuration

  1. Turn on the robot's power, connect the robot control board to the virtual machine with a Type-C data cable, and then run the configuration command:
 python3 ~/workspaces/tools/config_robot.py custom

image-20260811212516342

After the configuration is successful, the robot will start with the new Wi-Fi and Agent parameters. If the ROS indicator light stays on, it means the micro-ROS Agent has been connected.

  1. If you need to restore the factory default parameters, run:
xxxxxxxxxx
python3 ~/workspaces/tools/config_robot.py default

image-20260811212526189

3.1 Handle Button Operations

image-20260811212624362

image-20260811212634167

3.2 Running the Program for Gamepad Control

Quick start:

xxxxxxxxxx
bash ~/workspaces/scripts/start_remote_control.sh joy

image-20260811212909948

The script will automatically start the state estimation layer, the gamepad driver layer, and the remote control operation layer.

3.3 Motion Control

An independent per-axis arbitration between the joysticks and the D-pad is used — the joystick takes priority, and the D-pad only acts as a backup when the corresponding joystick axis is idle:

InputFunctionCurveDescription
Left joystick up/down (LY)Forward / BackwardSquare curve (power=2.0)Analog control, with a 0.15 dead zone
Right joystick left/right (RX)Turn left / Turn rightCubic curve (power=3.0)Analog control, with a 0.15 dead zone
Left joystick left/right (LX)No function—Not used
Right joystick up/down (RY)No function—Not used
D-pad up/downForward / Backward—Effective only when LY is idle (digital backup)
D-pad left/rightTurn left / Turn right—Effective only when RX is idle (digital backup)

3.4 Speed Gears

There are 5 fixed speed gears in total (G1–G5), with G2 as the default:

GearLinear SpeedAngular Speed
G10.20 m/s0.50 rad/s
G2 ★0.30 m/s1.50 rad/s
G30.50 m/s2.50 rad/s
G40.75 m/s3.75 rad/s
G51.00 m/s5.00 rad/s
ButtonFunction
L1Increase linear speed by one gear
L2Decrease linear speed by one gear
R1Increase angular speed by one gear
R2Decrease angular speed by one gear

Raising the gear to G5 or lowering it to G1 triggers a double beep notification.

3.5 Handle Control

ButtonFunctionDescription
XServo S1 forwardEffective when X is pressed alone
BServo S1 reverseEffective when B is pressed alone
YServo S2 reverseEffective when Y is pressed alone
AServo S2 forwardEffective when A is pressed alone

S1 travel range: -90° ~ +90°; S2 travel range: -90° ~ +20°.

3.6 Buzzer and Enable Switch

ButtonFunction
START (OPTIONS)Hold to keep beeping, release to stop
SELECT (SHARE)Toggle the gamepad enable state (/JoyState: True ↔ False)
Assembly Video
Write Firmware

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