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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
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  • 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

8. Drive Pwm Servo

Driving the PWM Servo

Experiment Objective

This section will guide you through driving a PWM servo with the MicroROS-V2 control board. Through this tutorial, you will learn how to use the ESP32-S3's MCPWM (Motor Control PWM) peripheral to generate a 50Hz servo control signal, set the rotation angle of the servo, and configure independent angle range limits for different servos.

Experiment Principle

1. Keywords

KeywordDescription
ServoA servo motor whose angle is controlled by a PWM signal; standard servos use a 50Hz frequency, with a pulse width of 500~2500us corresponding to -90°~90°
MCPWMThe ESP32-S3's motor control PWM peripheral, which can generate multiple independent PWM signals and supports timer, comparator, and generator configuration
Timebase ResolutionThe counting frequency of the MCPWM timer; at 1MHz resolution, each tick is 1us, which determines the PWM precision
PWM PeriodThe duration of a complete PWM signal; the standard period for a servo is 20ms (corresponding to a 50Hz frequency)
Pulse WidthThe duration that the PWM signal stays high; a servo determines its rotation angle by changing the pulse width
Duty CycleThe ratio of the high-level time to the period; changing the duty cycle changes the servo's output angle

2. Technical Architecture

The program uses the ESP32-S3's MCPWM peripheral to generate two 50Hz servo control signals, driving the PWM servos on the S1 (GPIO8) and S2 (GPIO16) interfaces respectively. The MCPWM timer works at 1MHz resolution with a period of 20000 ticks (20ms). The angle-to-pulse-width conversion formula converts the target angle (-90°~90°) into a comparator value, changing the PWM pulse width to control the servo to rotate to the specified angle. S1 and S2 each have independently configured angle limit ranges.

Main component files:

  • main/main.c — main program entry, controls the servo swing demonstration

  • components/servo/servo.c / servo.h — servo driver implementation and interface declarations

Experiment Steps

1. Hardware Preparation

HardwareRequirement
MicroROS-V2 control board✅ Required
USB data cable✅ Required (for power supply and serial monitor)
SG90 or similar PWM servo✅ Required (for testing the S1 interface)

2. Prerequisites

  1. ESP32-IDF development environment set up

  2. MicroROS-V2 control board connected to the PC via USB

  3. Connect the servo signal wire to the S1 (GPIO8) or S2 (GPIO16) interface of the control board

Servo wiring description

The servo interfaces on the MicroROS-V2 control board are defined as follows:

Servo interfaceGPIO pinFunction
S1GPIO8Gimbal pitch servo (default angle 0°, range [-90, 90])
S2GPIO16Gimbal yaw servo (default angle -45°, range [-90, 20])

The standard servo has three wires: brown (GND), red (VCC 5V), and orange (signal). The pin order is marked on the control board's servo interface; just plug it in directly.

3. Compile and Flash

​x

cd ~/esp/base_samples/pwm_servo
source ~/esp/esp-idf/export.sh
idf.py build flash monitor

After the program starts, servos S1 and S2 first return to their default angles. Then S1 swings back and forth between 90 degrees and -90 degrees, and S2 swings back and forth between -90 degrees and 20 degrees. Each angle is held for 1 second, and after 5 cycles the program stops.

4. How to Stop

Press Ctrl+] in the terminal to exit the serial monitor.

Experiment Result

After correctly flashing and running the program, the serial monitor outputs the following logs:

xxxxxxxxxx
hello yahboom
I (xxx) MAIN: Nice to meet you!
I (xxx) MAIN: Servo_Set-> S1_Angle:0, S2_Angle:-45
I (xxx) MAIN: Servo_Set-> S1_Angle:90, S2_Angle:-90
I (xxx) MAIN: Servo_Set-> S1_Angle:-90, S2_Angle:20
I (xxx) MAIN: Circle Counter: 1
I (xxx) MAIN: Servo_Set-> S1_Angle:90, S2_Angle:-90
...
I (xxx) MAIN: Circle Counter: 5
I (xxx) MAIN: Servo_Set-> S1_Angle:0, S2_Angle:-45
I (xxx) MAIN: Circle End,exiting...

At the same time, the servos connected to the S1 and S2 interfaces swing back and forth according to the steps described in the logs.

Code Explanation

Source code paths:

  • Firmware source code: ~/esp/base_samples/pwm_servo/main/main.c

  • Servo driver: ~/esp/base_samples/pwm_servo/components/servo/servo.h, servo.c

1. Project Structure

xxxxxxxxxx
pwm_servo/
├── CMakeLists.txt                  # Top-level CMake project file
├── main/
│   ├── CMakeLists.txt              # main component build configuration
│   └── main.c                      # Main program entry
└── components/
    └── servo/
        ├── CMakeLists.txt          # Component configuration (depends on driver)
        ├── servo.c                 # Servo driver implementation
        └── servo.h                 # Servo driver interface declarations

2. Main Program Logic

The execution flow of app_main in main.c:

  1. Print the startup information

  2. Call Servo_Init() to initialize the two servos

  3. After a 1-second delay, set S1 to 0° and S2 to -45° (initial position)

  4. Enter a loop that executes 5 rounds of swinging:

    • S1=90°, S2=-90°, hold for 1 second

    • S1=-90°, S2=20°, hold for 1 second

  5. After completion, return to the default angles and the program stops moving

3. Key Components

Servo Driver (servo.h / servo.c)

Pin and PWM parameter definitions:

Parameter definition file: ~/esp/base_samples/pwm_servo/components/servo/servo.h

xxxxxxxxxx
#define SERVO_GPIO_S1                  8       // S1 servo signal line GPIO
#define SERVO_GPIO_S2                  16      // S2 servo signal line GPIO
#define SERVO_TIMER_GROUP_ID           1       // MCPWM timer group (0 or 1)
#define SERVO_TIMEBASE_RESOLUTION_HZ   1000000 // Timebase resolution 1MHz, 1 tick = 1us
#define SERVO_TIMEBASE_PERIOD          20000   // PWM period 20000 ticks = 20ms (50Hz)

Servo control parameters:

xxxxxxxxxx
#define SERVO_MIN_PULSEWIDTH_US        500     // Minimum pulse width 500us (corresponds to -90°)
#define SERVO_MAX_PULSEWIDTH_US        2500    // Maximum pulse width 2500us (corresponds to 90°)
#define SERVO_MIN_HD_ANGLE             -90     // Minimum angle
#define SERVO_MAX_HD_ANGLE             90      // Maximum angle

Independent limit ranges for each servo:

xxxxxxxxxx
// Servo S1: default angle 0°, range [-90, 90]°
#define SERVO_S1_DEF_ANGLE  0
#define SERVO_S1_MIN_ANGLE  (-90)
#define SERVO_S1_MAX_ANGLE  90

// Servo S2: default angle -45°, range [-90, 20]° (-45° is directly ahead of the camera)
#define SERVO_S2_DEF_ANGLE  (-45)
#define SERVO_S2_MIN_ANGLE  (-90)
#define SERVO_S2_MAX_ANGLE  20

Servo ID enumeration:

xxxxxxxxxx
typedef enum _servo_id {
    SERVO_ID_S1 = 0,    // Servo S1
    SERVO_ID_S2 = 1,    // Servo S2
    SERVO_ID_MAX
} servo_id_t;

Angle-to-pulse-width calculation (Servo_S1_Angle_To_Compare / Servo_S2_Angle_To_Compare):

The conversion relationship between the angle value and the pulse width:

xxxxxxxxxx
Pulse width (us) = (angle - minimum angle) × (maximum pulse width - minimum pulse width) / (maximum angle - minimum angle) + minimum pulse width

Substituting the specific values:

xxxxxxxxxx
Pulse width = (angle - (-90)) × (2500 - 500) / (90 - (-90)) + 500
            = (angle + 90) × 2000 / 180 + 500

For example, when the angle is 0°, the corresponding pulse width = (0 + 90) × 2000 / 180 + 500 = 1500us.

MCPWM initialization (Servo_S1_Init / Servo_S2_Init):

Taking S1 as an example, the MCPWM configuration flow is as follows:

  1. Create the MCPWM timer:

    xxxxxxxxxx
    mcpwm_timer_config_t timer_config = {
        .group_id = SERVO_TIMER_GROUP_ID,               // Timer group ID
        .clk_src = MCPWM_TIMER_CLK_SRC_DEFAULT,         // Default clock source
        .resolution_hz = SERVO_TIMEBASE_RESOLUTION_HZ,  // 1MHz resolution
        .period_ticks = SERVO_TIMEBASE_PERIOD,          // 20000 ticks = 20ms
        .count_mode = MCPWM_TIMER_COUNT_MODE_UP,        // Up-counting mode
    };
  2. Create the operator and bind the timer:

    • mcpwm_new_operator + mcpwm_operator_connect_timer

  3. Create the comparator:

    xxxxxxxxxx
    mcpwm_comparator_config_t comparator_config = {
        .flags.update_cmp_on_tez = true,  // Update the compare value when the timer resets to zero
    };
  4. Create the PWM generator and bind the GPIO:

    xxxxxxxxxx
    mcpwm_generator_config_t generator_config = {
        .gen_gpio_num = SERVO_GPIO_S1,
    };
  5. Set the PWM waveform actions:

    • Output a high level when the timer resets to zero (MCPWM_GEN_ACTION_HIGH)

    • Output a low level when the comparator matches (MCPWM_GEN_ACTION_LOW)

  6. Enable and start the timer:

    • mcpwm_timer_enable + mcpwm_timer_start_stop

Setting the servo angle (Servo_Set_Angle):

xxxxxxxxxx
void Servo_Set_Angle(servo_id_t servo_id, int8_t angle)
  • Select the corresponding servo according to servo_id

  • The angle of S1 is inverted (angle_servo = -angle), because S1's mounting direction is opposite to the coordinate system definition

  • Call mcpwm_comparator_set_compare_value to update the compare value and change the pulse width

API functions:

FunctionDescription
void Servo_Init(void)Initialize the two servos (S1 and S2)
void Servo_Set_Angle(servo_id_t servo, int8_t angle)Set the servo angle, unit: degrees

Common Problems

ProblemCauseSolution
The servo does not move or jittersInsufficient servo power supplyMake sure the servo uses an external 5V power supply; do not rely on USB power alone to drive high-torque servos
The servo gets stuck at its limit positionThe angle setting exceeds the physical rangeCheck whether the angle value is within [-90, 90]; different servos may have different physical limits
The servo direction is opposite to expectedAngle conversion sign issueThe angle of S1 is already inverted in the code (-angle), which is designed according to the mounting direction
Battery Voltage Detection
Drive Motors

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