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MicroROS-Pi5📖
01. Introduction
  • 0.Unpacking and reviewing video
  • 1. ReadMe - learning route
  • 2. Introduction to lidar
  • 3. Introduction to microROS control board
  • 4. FAQ
  • 5. About charging
02. Assembly course
  • Assembly steps
03. Preparation
  • First Trial
  • 1. Write firmware
  • 2. MicroROS control board parameter configuration
  • 3. Connect to MicroROS agent
  • 4. Connect to WIFI in hotspot mode
04. Quick start control course
  • 1. Self start handle control
  • 2. Close the self-starting handle control process
  • 3. Quick start keyboard control
  • 4. Map navigation and APP control
05. Robot basic 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. ROS+OpenCV course
  • 1. Getting started with Opencv CV
  • 2. Geometric transformation
  • 3. Image processing and drawing
  • 4. Open Source CV image beautification
  • 5. QR code creation and recognition
  • 6. AR vision
  • 7. ROS+Opencv application
07. Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall detection
  • 4. Face detection
  • 5. Face recognition
  • 6. Face effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10 .Gesture recognition
08. Robot visual interaction
  • 1. Monocular camera calibration
  • 2. Color tracking
  • 3. Object recognition and tracking
  • 4. Face recognition tracking
  • 5. Autonomous driving line patrol
  • 6. QR code motion control
  • 7. Gesture control of basic movement of the car
  • 8. Control the car movement with your palm
  • 9. Gesture control car action group
  • 10. Palm control of the two-dimensional gimbal servo
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidar patrol
  • 5. Gmapping mapping
  • 6. Cartographer mapping
  • 7. Navigation2 navigation avoid
  • 8. ROS Robot APP mapping
  • 9. ROS Robot APP navigation
10. Multi-machine course
  • 1. Multi-machine handle control
  • 2. Multi-machine keyboard control
  • 3. Multi-machine navigation
11. Linux basic 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
12. RPi basic setting course
  • 1. Update and upgrade operating system
  • 2. Introduction to raspi-config tool
  • 3. config.txt file description
  • 4. Network Configuration
  • 5. remote access
  • 6. Transfer files remotely
  • 7. Set display resolution and rotation
  • 8. Set screen to sleep
  • 9. Get real-time temperature of Raspberry Pi
  • 10. Play audio and video
  • 11. Using USB camera
  • 12. Using MIPI camera
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the robot's docker container
14. ROS2 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
15. microROS control board development environment
  • 1. Introduction to microROS control board
  • 2. Set up ESP32-IDF development environment
  • 3. ESP32-IDF configuration tool
  • 4. Install ESP32-microros components
  • 5. Install and start microROS agent
  • 6. Flash-tool burning firmware
16. ESP32 basic course
  • 1. Turn on the LED light
  • 2. Button function
  • 3. Drive the buzzer
  • 4. Serial communication
  • 5. Battery voltage detection
  • 6. Drive PWM servo
  • 7. Drive motor
  • 8. Read motor encoder data
  • 9. PID controls car speed
  • 10. Read IMU data
  • 11. Read radar data
  • 12. Flash access data
  • 13. Partition table and memory
  • 14. Bluetooth communication
  • 15. WiFi networking
  • 16. Robot kinematics analysis
  • 17.ROS-WiFi camera module
17. microROS basic course
  • 1. Publish topic
  • 2. Subscribe topic
  • 3. Multi-topic subscribe and publish
  • 4. Subscribe buzzer topics
  • 5. Subscribe PWM servo topics
  • 6. Subscribe speed control topics
  • 7. Release speed topic
  • 8. Release IMU data topic
  • 9. Publish lidar data topics
  • 10. Customized transmission method
Download
  • Mapping_APP(iOS_Android)
  • Source code
  • Hardware information
  • VM image file
  • RPi5 imgae file
  • Instruction Manual
  • 3D Model File
  • ROS2_Basic_VM
Download ZIP
FAQ
  • 1、1.USB camera abnormal termination

Welcome to MicroROS-Pi5 repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

16. Robot kinematics analysis

Robot kinematics analysis

Robot kinematics analysis1. Experimental purpose2. Hardware connection3. Establish kinematics model4. Core code analysis5. Compile, download and flash firmware6. Experimental results

1. Experimental purpose

Use the encoded motor interface of the microROS control board to learn ESP32 to control the movement of the robot car and analyze the kinematic equations of the car. Since the real car has structural errors and factors such as resistance and friction during movement, it is more complicated. For the sake of simplicity, the analysis here is limited to the ideal state of the four-wheeled car.

 

2. Hardware connection

As shown in the figure below, the microROS control board integrates four encoder motor control interfaces. An additional encoder motor needs to be connected. The motor control interface supports 310 motors. A type-C data cable also needs to be connected to the computer and the microROS control board to burn firmware. Function.

image-20240111152814048

The corresponding names of the four motor interfaces are: left front wheel->Motor1, left rear wheel->Motor2, right front wheel->Motor3, right rear wheel->Motor4.

image-20240111155522592

Motor interface line sequence, there is a detailed line sequence silk screen on the back of the microROS control board. Here we take Motor1 as an example. M1+ and M1- are the interfaces for controlling the rotation of the motor. GND and VCC are the power supply circuits of the encoder, and H1A and H1B are the encoder pulse detection pins.

image-20240111160116671

Note: If you are using the 310 motor and motor cable provided by Yabo Intelligence, connect the white wire shell end to the interface on the microROS control board, and the black wire shell end to the 310 motor interface.

3. Establish kinematics model

The four-wheel drive car is abstracted into the model in the figure below, where W represents the interval between the center points of the left and right motors; L represents the interval between the center points of the front and rear motors; the motors M1, M2, M3, and M4 represent the four drive motors of the car; V represents the line of the car Speed (forward and backward speed), ω represents the car angular speed (rotation speed).

Ideally, by controlling the linear velocity V and angular velocity ω, it is transformed into controlling four motors to control the movement of the four-wheel drive car.

image-20240115180047937

Let V~m1~, V~m2~, V~m3~, and V~m4~ be the speed values of motors M1, M2, M3, and M4, that is, the rotation speed of the wheels. V~x~ is the linear speed of the car, V~ When x~ is positive, it means forward, when V~x~ is negative, it means backward, V~z~ is the angular speed of the car, when V~z~ is positive, it means left, and when V~z~ is negative, it means right. A is half the distance W between the center points of the left and right motors of the car A=$\frac{W}{2}$, B is half the distance L between the center points of the front and rear motors of the car B=$\frac{L}{2}$

When the car moves forward or backward.

V~m1~=V~x~

V~m2~=V~x~

V~m3~=V~x~

V~m4~=V~x~

When the car rotates around the geometric center point,

V~m1~=-V~z~*(A+B)

V~m2~=-V~z~*(A+B)

V~m3~=V~z~*(A+B)

V~m4~=V~z~*(A+B)

According to the above formula, we can get the following information

V~m1~=V~x~-V~z~*(A+B)

V~m2~=V~x~-V~z~*(A+B)

V~m3~=V~x~+V~z~*(A+B)

V~m4~=V~x~+V~z~*(A+B)

 

4. Core code analysis

The virtual machine path corresponding to the program source code is as follows

~/esp/Samples/esp32_samples/car_motion

According to the analysis of the robot kinematic model, the function to control the robot is obtained. V_x represents the control linear velocity [-1.0, 1.0], V_y is invalid, and V_z represents the control angular velocity [-5.0, 5.0].

xxxxxxxxxx
void Motion_Ctrl(float V_x, float V_y, float V_z)
{
    line_v = V_x;
    angular_v = V_z;
    speed_L1_setup = line_v - angular_v * ROBOT_APB;
    speed_L2_setup = line_v - angular_v * ROBOT_APB;
    speed_R1_setup = line_v + angular_v * ROBOT_APB;
    speed_R2_setup = line_v + angular_v * ROBOT_APB;
    Motor_Set_Speed(speed_L1_setup, speed_L2_setup, speed_R1_setup, speed_R2_setup);
}

By reading the speed of the four motors, the kinematic speed of the robot is calculated.

xxxxxxxxxx
void Motion_Get_Speed(car_motion_t* car)
{
    float speed_m1 = 0, speed_m2 = 0, speed_m3 = 0, speed_m4 = 0;
    Motor_Get_Speed(&speed_m1, &speed_m2, &speed_m3, &speed_m4);

    car->Vx = (speed_m1 + speed_m2 + speed_m3 + speed_m4) / 4;
    car->Vy = 0;
    car->Wz = -(speed_m1 + speed_m2 - speed_m3 - speed_m4) / 4.0f / ROBOT_APB;
    if(car->Wz == 0) car->Wz = 0;
}

Call the Motor_Init function in app_main to initialize the encoder motor, then set the speed of the car to 0.5m/s, print the current speed value of the car every 100 milliseconds, and the car will stop after 5 seconds.

xxxxxxxxxx
void app_main(void)
{
    printf("hello yahboom\n");
    ESP_LOGI(TAG, "Nice to meet you!");
    int count = 0;
    vTaskDelay(pdMS_TO_TICKS(1000));

    
    Motor_Init();
    Motion_Ctrl(0.5, 0, 0);
    car_motion_t micro_car;

    while (1)
    {
        Motion_Get_Speed(&micro_car);
        ESP_LOGI(TAG, "Read Motion:%.2f, %.2f, %.2f", micro_car.Vx, micro_car.Vy, micro_car.Wz);
        vTaskDelay(pdMS_TO_TICKS(100));
        count++;
        if(count >= 50)
        {
            Motion_Stop(STOP_COAST);
        }
    }
}

 

5. Compile, download and flash firmware

Note: Since the connected motor will rotate after the firmware is burned, please lift the car into the air first to prevent the car from moving around on the desktop.

Use a Type-C data cable to connect the virtual machine/computer and the microROS control board. If the system pops up, choose to connect to the virtual machine.

Activate the ESP-IDF development environment. Note that every time you open a new terminal, you need to activate the ESP-IDF development environment before compiling the firmware.

xxxxxxxxxx
source ~/esp/esp-idf/export.sh

Enter the project directory

xxxxxxxxxx
cd ~/esp/Samples/esp32_samples/car_motion

Compile, flash, and open the serial port simulator

xxxxxxxxxx
idf.py build flash monitor

If you need to exit the serial port simulator, press Ctrl+].

 

6. Experimental results

The serial port simulator prints the "hello yahboom" greeting. At this time, the car speed will be printed every 100 milliseconds. And the car starts to move at the preset speed. Motion_Ctrl(0.5, 0, 0) is a function to adjust the speed. The car's movement speed can be adjusted according to actual needs. Theoretically, there will be a certain error between the car speed and the actual setting. If there is not much difference between the read speed and the set speed, it means that the motor is normal. The car will automatically stop after 5 seconds of movement. If you need to let the motor move again, please press the reset button on the microROS control board.

image-20240115184355402

 

 

WiFi networking
ROS-WiFi camera module

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