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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

5. Install And Start Microros Agent

Installing and Starting the microROS Agent

Installing and Starting the microROS Agent1. Starting the microROS Agent with DockerStarting the WIFI Agent with DockerStarting the Serial Agent with DockerWhen the Agent Fails to Start2. Starting the microROS Agent from SourceInstalling the tinyxml2 DependencyInstalling the python3-rosdep ToolCompiling the micro_ros_setup EnvironmentCompiling the micro_ros_agent EnvironmentStarting the microROS Agent from SourceStarting the WIFI Agent from ROS2 SourceStarting the Serial Agent from ROS2 Source

Description: The same system can have both the Docker startup method and the source startup method installed at the same time, but when starting, you can only choose one of them. In general, the Docker startup method is simple and convenient, so the Docker startup method is recommended.

Note: The out-of-the-box virtual machine already comes with all the environments, so there is no need to reinstall them. Just refer to the Quick Start guide and use it directly. This tutorial is provided for setting up a personal environment.

1. Starting the microROS Agent with Docker

The microROS agent is started via the Docker method this time, so you need to have Docker set up on the system first. The out-of-the-box system already has the relevant Docker environment set up, so it can be run directly.

 

Starting the WIFI Agent with Docker

docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged --net=host microros/micro-ros-agent:humble udp4 --port 8090 -v4

image-20240123104519731

Here, --port 8090 is the network port number, and -v4 is the LOG print level. The higher the value, the more output is printed. You can modify these according to your actual situation.

If you need to stop the agent, press Ctrl+C in the terminal to exit the agent.

Note: Do not directly close the terminal, otherwise the docker container will keep running in the background.

If the microcontroller restarts and reconnects to the agent multiple times, causing ROS2 to discover multiple identical nodes, this does not actually affect usage. Just press Ctrl+C to stop the agent, then reset the microcontroller and reconnect to the agent.

 

Starting the Serial Agent with Docker

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docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged --net=host microros/micro-ros-agent:humble serial --dev /dev/ttyUSB0 -b 921600 -v4

image-20240123104703300

Here, --dev /dev/ttyUSB0 is the serial device number, and -b 921600 is the baud rate. You can modify these according to your actual situation.

If you need to stop the agent, press Ctrl+C in the terminal to exit the agent.

Note: Do not directly close the terminal, otherwise the docker container will keep running in the background.

If the microcontroller restarts and reconnects to the agent multiple times, causing ROS2 to discover multiple identical nodes, this does not actually affect usage. Just press Ctrl+C to stop the agent, then reset the microcontroller and reconnect to the agent.

 

When the Agent Fails to Start

image-20240117145758390

The microROS agent can only be started in one terminal. If a terminal is already running the microROS agent in the background, starting the agent again will cause an error. Please first press Ctrl+C in the original agent terminal to exit the agent, and then run the agent again.

If starting the agent fails the next time because the terminal was closed directly, you can solve the problem by restarting the virtual machine/computer, or by manually stopping the docker container.

How to manually stop the docker container:

First, query the current docker container ID, and then stop the current agent docker container.

xxxxxxxxxx
docker ps -a | grep microros/micro-ros-agent
docker stop xxxxxxxxxx
docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged --net=host microros/micro-ros-agent:humble udp4 --port 8090 -v4

image-20240117150451919

 

2. Starting the microROS Agent from Source

Installing the tinyxml2 Dependency

Run the following command in the terminal to install tinyxml2.

xxxxxxxxxx
cd ~/
git clone https://github.com/leethomason/tinyxml2.git
cd tinyxml2
mkdir build
cd build
sudo cmake ..
sudo make
sudo make install

 

Installing the python3-rosdep Tool

Run the following command in the terminal to install the rosdep tool. You can skip this step if it is already installed.

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sudo apt install python3-rosdep

 

Compiling the micro_ros_setup Environment

Activate the ROS2 environment variables. Here, we take the humble version as an example. If it is already activated, you can skip the activation step.

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source /opt/ros/humble/setup.bash

Create and enter the uros_ws workspace in the user directory.

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mkdir ~/uros_ws && cd ~/uros_ws
mkdir src

Download the micro_ros_setup files to the src folder.

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git clone -b $ROS_DISTRO https://github.com/micro-ROS/micro_ros_setup.git src/micro_ros_setup

Initialize rosdep.

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sudo rosdep init

If a network problem occurs, add the -E parameter.

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sudo -E rosdep init

image-20240122150921530

If all the above steps report errors and rosdep still cannot be initialized, you can create a new 20-default.list file in the /etc/ros/rosdep/sources.list.d/ directory, add the following content, and then proceed to the next step.

​x
# os-specific listings first
yaml https://raw.githubusercontent.com/ros/rosdistro/master/rosdep/osx-homebrew.yaml osx
​
# generic
yaml https://raw.githubusercontent.com/ros/rosdistro/master/rosdep/base.yaml
yaml https://raw.githubusercontent.com/ros/rosdistro/master/rosdep/python.yaml
yaml https://raw.githubusercontent.com/ros/rosdistro/master/rosdep/ruby.yaml
gbpdistro https://raw.githubusercontent.com/ros/rosdistro/master/releases/fuerte.yaml fuerte
​
# newer distributions (Groovy, Hydro, ...) must not be listed anymore, they are being fetched from the rosdistro index.yaml instead

Update rosdep and install the related driver packages.

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rosdep update && rosdep install --from-paths src --ignore-src -y

image-20240122151414216

Build the workspace.

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colcon build

image-20240122153902776

Activate the micro_ros_setup environment.

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source install/local_setup.bash

 

Compiling the micro_ros_agent Environment

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ros2 run micro_ros_setup create_agent_ws.sh
ros2 run micro_ros_setup build_agent.sh

image-20240122152027943

If an error occurs while running the build_agent.sh build, run the build again.

 

Starting the microROS Agent from Source

Activate the micro_ros_agent agent environment.

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source ~/uros_ws/install/local_setup.sh

 

Starting the WIFI Agent from ROS2 Source

xxxxxxxxxx
ros2 run micro_ros_agent micro_ros_agent udp4 --port 8090 -v4

image-20240123104307509

Here, --port 8090 is the network port number, and -v4 is the LOG print level. The higher the value, the more output is printed. You can modify these according to your actual situation.

If you need to stop the agent, press Ctrl+C in the terminal to exit the agent.

 

Starting the Serial Agent from ROS2 Source

xxxxxxxxxx
ros2 run micro_ros_agent micro_ros_agent serial --dev /dev/ttyUSB0 -b 921600 -v4

image-20240123104355747

Here, --dev /dev/ttyUSB0 is the serial device number, and -b 921600 is the baud rate. You can modify these according to your actual situation.

If you need to stop the agent, press Ctrl+C in the terminal to exit the agent.

Install ESP32 Microros Components
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