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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. Multi Topic Subscription And Publishing

Multi-Topic Subscription and Publishing

1. Experiment Objective

In this experiment, you will learn how to create multiple topic publishers and multiple topic subscribers simultaneously in the same micro-ROS node. Through this example, you will master managing multiple publishers/subscribers and multiple timers in a single node, as well as coordinating multiple handles within the same executor. This example creates 3 publishers (publisher_1, publisher_2, publisher_3) and 3 subscribers (subscriber_1, subscriber_2, subscriber_3) in a single node, all using the Int32 message type.

2. Experiment Principle

1. Keyword Explanation

KeywordDescription
micro-ROS AgentA proxy program running on the ROS2 host side, responsible for bridging communication between the ESP32 firmware and the ROS2 system, connecting with the microcontroller via the UDP protocol
publisher / subscriberThe publisher and the subscriber, the message-sending and message-receiving ends in the ROS2 communication model, decoupled through topics
rclcA ROS2 client library for microcontrollers, providing lightweight node, publisher, subscriber, timer and other APIs, adapted to resource-constrained embedded devices
multi-handle executorThe multi-handle executor, where the same executor can manage multiple timer and subscriber handles at the same time, polling and processing them in order
executor handle countThe executor handle capacity, the maximum number of handles specified at initialization, which must be greater than or equal to the total number of handles actually added
QoS (Best Effort)The "best effort" mode in the quality-of-service policy, which does not guarantee message delivery and ordering, suitable for scenarios with high real-time requirements but tolerant of a small amount of packet loss

2. Technical Architecture

This experiment builds a multi-topic bidirectional communication channel between the ESP32 firmware and the ROS2 host:

  • Hardware layer: The MicroROS-V2 control board (ESP32) connects to the local network via Wi-Fi

  • Transport layer: Uses the UDP protocol, communicating with the ROS2 host through the micro-ROS Agent

  • Node configuration: Node name esp32_pub_sub, managing 6 topics (3 publishers + 3 subscribers)

  • Message type: All use std_msgs/msg/Int32

  • QoS mode: All publishers and subscribers use Best Effort, reducing the pressure on the multi-channel UDP communication link

  • Data flow: 3 timers (5 Hz period) → 3 timer callbacks → rcl_publish() → UDP → Agent → ROS2 topic bus; meanwhile, messages received from the ROS2 host go through Agent → UDP → executor → 3 subscription callbacks → serial port printing

  • Executor configuration: Handle capacity = 6 (3 timers + 3 subscribers), timeout 100 ms

3. Core Topic Quick Reference

Firmware Uplink (Published to ROS2 Host)

TopicMessage TypeQoSDescription
/publisher_1std_msgs/msg/Int32Best EffortPublished by the timer callback, 5 Hz incrementing integer
/publisher_2std_msgs/msg/Int32Best EffortSame as above
/publisher_3std_msgs/msg/Int32Best EffortSame as above

Firmware Downlink (Subscribed from ROS2 Host)

TopicMessage TypeQoSFieldRangeDirection
/subscriber_1std_msgs/msg/Int32Best Effortdata (int32)Any integer valueInput, printed to serial port
/subscriber_2std_msgs/msg/Int32Best Effortdata (int32)Any integer valueInput, printed to serial port
/subscriber_3std_msgs/msg/Int32Best Effortdata (int32)Any integer valueInput, printed to serial port

Usage Example:

​x
# View the published topics
ros2 topic echo /publisher_1

# Publish messages to the subscribers
ros2 topic pub /subscriber_1 std_msgs/msg/Int32 "data: 100"

4. Middleware Configuration

micro-ROS uses a static memory model (RCUTILS_AVOID_DYNAMIC_ALLOCATION=ON), all entity memory is pre-allocated at compile time, and runtime dynamic creation is not supported.

Configuration file: ~/esp/extra_components/micro_ros_espidf_component/colcon.meta

| RMW_UXRCE_TRANSPORT | udp | UDP transport (Wi-Fi communication) | | RMW_UXRCE_MAX_PUBLISHERS | 6 | Maximum number of publishers | | RMW_UXRCE_MAX_SUBSCRIPTIONS | 6 | Maximum number of subscribers | | RMW_UXRCE_MAX_NODES | 1 | Maximum number of nodes | | RMW_UXRCE_MAX_SERVICES | 0 | Services not supported | | RMW_UXRCE_MAX_CLIENTS | 0 | Clients not supported | | RMW_UXRCE_MAX_HISTORY | 1 | History depth = 1, no message queuing | | UCLIENT_UDP_TRANSPORT_MTU | 4096 | Maximum UDP packet size 4 KB | | UCLIENT_MIN_HEARTBEAT_TIME_INTERVAL | 1 | Agent heartbeat interval 1 ms |

Key Constraints:

  • MAX_HISTORY=1 means there is no message buffer queue, so uplink topics (firmware → host) uniformly use best_effort QoS

  • MAX_SERVICES=0, MAX_CLIENTS=0 means only topic communication is supported, not Service/Client

  • After modifying colcon.meta, the micro-ROS library must be recompiled for the changes to take effect: run idf.py clean-microros in the project directory to clean and rebuild the micro-ROS library, then idf.py build to compile the firmware

Resource usage analysis of this experiment:

This experiment uses 3 publishers + 3 subscribers = 6 entities, approaching the limits of MAX_PUBLISHERS=6 and MAX_SUBSCRIPTIONS=6. If more topics are needed:

  1. Modify the values of RMW_UXRCE_MAX_PUBLISHERS / RMW_UXRCE_MAX_SUBSCRIPTIONS in colcon.meta

  2. Correspondingly increase the executor handle count in the firmware code #define EXECUTOR_HANDLE_COUNT

  3. Recompile the micro-ROS library and the firmware

3. Experiment Steps

1. Hardware Preparation

HardwareRequirement
MicroROS-V2 control board✅ Required
USB Type-C cable✅ Required
Wi-Fi network (2.4 GHz)✅ Required

2. Prerequisites

  1. The ESP32-IDF development environment has been set up

  2. The MicroROS-V2 control board is connected to the computer via USB

  3. Configure the Wi-Fi SSID, password, Agent IP and port via idf.py menuconfig (the micro_ros menu item)

    xxxxxxxxxx
    cd ~/esp/microROS_samples/publisher_subscriber
    source ~/esp/esp-idf/export.sh
    idf.py menuconfig

    image-20260723154206694

    1. Select example-app setting to set the domain ID to be consistent with the virtual machine

    image-20260811194927010

    After configuration, press "s" to save and press "q" to exit the configuration interface.

3. Start micro_ros_agent (Terminal 1)

Start the micro-ROS Agent on the ROS2 host:

xxxxxxxxxx
cd ~/uros_ws
source install/local_setup.bash
ros2 run micro_ros_agent micro_ros_agent udp4 --port 8090 -v4

4. Build and Flash (Terminal 2)

xxxxxxxxxx

cd ~/esp/microROS_samples/publisher_subscriber
source ~/esp/esp-idf/export.sh
idf.py build flash monitor

5. How to Stop

  1. Press Ctrl+] in Terminal 2 to exit the serial monitor (stop firmware execution)

  2. Press Ctrl+C in Terminal 1 to stop micro_ros_agent

4. Experiment Result

After the build and flash succeed, on the ROS2 host you can:

View the published topics:

xxxxxxxxxx
# View the 3 publisher topics
ros2 topic echo /publisher_1
ros2 topic echo /publisher_2
ros2 topic echo /publisher_3

Each topic is expected to output incrementing integers at 5 Hz.

Publish messages to the subscribers:

xxxxxxxxxx
ros2 topic pub /subscriber_1 std_msgs/msg/Int32 "data: 100"
ros2 topic pub /subscriber_2 std_msgs/msg/Int32 "data: 200"
ros2 topic pub /subscriber_3 std_msgs/msg/Int32 "data: 300"

The control board serial port will output:

xxxxxxxxxx
I (xxx) MAIN: Agent reachable: 192.168.x.x:8888
I (xxx) MAIN: free heap before support init: xxx
I (xxx) MAIN: stack watermark before support init: xxx
I (xxx) MAIN: free heap after support init: xxx
I (xxx) MAIN: stack watermark after support init: xxx
Sub1 Received: 100
Sub2 Received: 200
Sub3 Received: 300

5. Program Analysis

Source code paths:

  • Firmware source code: ~/esp/microROS_samples/publisher_subscriber/main/main.c

1. Main Program Logic

main/main.c is the program entry point, and the flow is as follows:

  1. app_main() initializes the Wi-Fi network and disables power saving mode

  2. Creates the micro_ros_task task, in which:

    • Zero-initializes the 6 ROS resources one by one (3 publishers, 3 subscribers, 3 timers, 6 message variables)

    • Waits for the micro-ROS Agent to be reachable

    • Initializes the rclc support layer

    • Creates the ROS2 node esp32_pub_sub

    • Initializes 3 Best Effort publishers (publisher_1, publisher_2, publisher_3)

    • Initializes 3 Best Effort subscribers (subscriber_1, subscriber_2, subscriber_3)

    • Creates 3 timers, all with a publish period of 200 ms

    • Creates the executor (EXECUTOR_HANDLE_COUNT=6) and adds all 6 handles

    • Drives the executor in the main loop

2. Key Components

Node resource configuration:

Parameter definition file: ~/esp/microROS_samples/publisher_subscriber/main/main.c

Configuration ItemValueDescription
Node nameesp32_pub_subROS2 node name
Number of publishers3publisher_1, publisher_2, publisher_3
Number of subscribers3subscriber_1, subscriber_2, subscriber_3
Message type (all)std_msgs/msg/Int3232-bit integer message
Publish frequency5 Hz (200 ms period)All 3 timers share the same 200 ms period
Executor handle count63 timers + 3 subscribers
Executor timeout100 msLonger than the basic example to ensure all handles are processed

Timer callback functions:

The 3 timers are bound to independent callback functions timer1_callback, timer2_callback, timer3_callback, each of which increments the data field of the corresponding message after a successful publish. On publish failure, rate-limited printing is performed (printed once every 50 failures):

Source file: ~/esp/microROS_samples/publisher_subscriber/main/main.c

xxxxxxxxxx
static void timer1_callback(rcl_timer_t *timer, int64_t last_call_time)
{
    RCLC_UNUSED(last_call_time);

    if (timer == NULL) {
        return;
    }

    rcl_ret_t rc = rcl_publish(&publisher_1, &msg_pub1, NULL);
    if (rc == RCL_RET_OK) {
        msg_pub1.data++;
    } else {
        pub1_fail_cnt++;
        if ((pub1_fail_cnt % 50U) == 1U) {
            printf("publisher_1 publish failed, rc=%d, cnt=%lu\n",
                   (int)rc, (unsigned long)pub1_fail_cnt);
            if (rcl_error_is_set()) {
                print_rcl_error_limited("rcl_publish(&publisher_1, &msg_pub1, NULL)",
                                        __LINE__, rc);
            }
        }
    }
}

Subscription callback functions:

The 3 subscribers are bound to 3 callback functions respectively, which print the received message to the serial port:

Source file: ~/esp/microROS_samples/publisher_subscriber/main/main.c

xxxxxxxxxx
static void subscription_1_callback(const void *msgin)
{
    const std_msgs__msg__Int32 *msg = (const std_msgs__msg__Int32 *)msgin;
    printf("Sub1 Received: %d\n", (int)msg->data);
}

Executor registration order:

Source file: ~/esp/microROS_samples/publisher_subscriber/main/main.c

xxxxxxxxxx
// 1. Add timers
RCCHECK(rclc_executor_add_timer(&executor, &timer_1));
RCCHECK(rclc_executor_add_timer(&executor, &timer_2));
RCCHECK(rclc_executor_add_timer(&executor, &timer_3));

// 2. Add subscribers
RCCHECK(rclc_executor_add_subscription(
    &executor, &subscriber_1, &msg_sub1, &subscription_1_callback, ON_NEW_DATA));
RCCHECK(rclc_executor_add_subscription(
    &executor, &subscriber_2, &msg_sub2, &subscription_2_callback, ON_NEW_DATA));
RCCHECK(rclc_executor_add_subscription(
    &executor, &subscriber_3, &msg_sub3, &subscription_3_callback, ON_NEW_DATA));

Notes on multiple handles:

  • The executor's EXECUTOR_HANDLE_COUNT must be greater than or equal to the total number of handles actually added, otherwise initialization will fail

  • Each timer and subscriber needs its own independent variable instance; they cannot be shared

  • All resources must be initialized before entering the main loop

  • Conditional compilation with #ifdef CONFIG_MICRO_ROS_ESP_XRCE_DDS_MIDDLEWARE is used to support multiple middlewares

6. Common Problems

ProblemCauseSolution
Executor initialization failsInsufficient handle countEnsure EXECUTOR_HANDLE_COUNT (value 6) ≥ the actual total number of handles (3 timers + 3 subscribers = 6)
Some topics receive no messagesTopic name mismatch or the Agent has not completed registrationWait a moment and retry; confirm the topic names match those in the code
Uneven publish frequencyMultiple timers competing for the same executorThe executor timeout has been set to 100 ms to ensure enough time to process all handles; it can be increased as needed
High Wi-Fi load causes packet loss6 topics communicating simultaneously, high pressure on the UDP linkAll publishers and subscribers use Best Effort mode to reduce transmission overhead
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