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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。

3. Robot handle control

Robot handle control

Note: The ROS_DOMAIN_ID of the Raspberry Pi and the microROS control board need to be consistent. You can check [MicroROS Control Board Parameter Configuration] to set the microROS control board ROS_DOMAIN_ID. Check the tutorial [Connect MicroROS Agent] to determine whether the IDs are consistent.

1. Program function description

The car is connected to the agent, the receiver of the handle is connected to the Raspberry Pi 5 port, and the program is run, and the car movement, buzzer and gimbal servo can be controlled by remote control.

2. Start and connect to the agent

After successfully starting the Raspberry Pi, enter the following command to start the agent.

sh ~/start_agent_rpi5.sh

image-20240123103719295

Then, turn on the car switch and wait for the car to connect to the agent. The connection is successful, as shown in the figure below.

image-20240123103750736

3. Enter the car docker

Open another terminal and enter the following command to enter docker.

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sh ros2_humble.sh

When the following interface appears, you have successfully entered docker. Now you can control the car through commands.

image-20240201101454224

Enter the following command in the terminal to check whether the controller is mounted normally.

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ls /dev/input*

When this interface appears, it means it was successfully mounted.

image-20240123112809498

4. Start the handle control program

Because the handle control function has been automatically activated at boot, if we need to manually enable handle control, we need to turn off the auto-start process at boot.

Terminal input command:

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ps -A

image-20240123113715913

You can see that the processes of the handle control node and the handle node are 171 and 173. Turn off these two processes to manually start the handle control.

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kill -9 171
kill -9 173

Manually open the handle control program.

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#Handle remote control car program
ros2 launch yahboomcar_ctrl yahboomcar_joy_launch.py

image-20240123113950850

The remote control button description is as follows:

  • Left rocker: valid in the front and rear directions, controls the car forward and backward, invalid in the left and right directions
  • Right joystick: valid in left and right directions, controls the car to rotate left and right, invalid in forward and backward directions
  • START key: buzzer control
  • Y key: control the S2 servo upward
  • A key: control the S2 servo down
  • X key: control the S1 servo to the left
  • B key: control the S1 servo to the right
  • R1 key: handle control speed switch. After pressing it, you can use the remote control to control the speed of the car. Press it again to lose the handle control speed. It is also a gameplay switch. Press it to stop. Press it again to continue running the functional gameplay program, including radar. Obstacle avoidance, radar guard and more.
  • MODE key: Switch modes and use the default mode. After switching modes, if the key value is incorrect, the program will exit with an error.

5、Node communication diagram

Enter the following command in the terminal.

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ros2 run rqt_graph rqt_graph

image-20240123115953926

If it is not displayed at first, select [Nodes/Topics(all)], and then click the refresh button in the upper left corner.

6、Code analysis

Source code reference path.

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/root/yahboomcar_ws/src/yahboomcar_ctrl/launch

yahboom_joy_ launch.py

​x
from launch import LaunchDescription
from launch_ros.actions import Node
​
def generate_launch_description():
    node1 = Node(
        package='yahboomcar_ctrl',
        executable='yahboom_joy',
    )
    node2 = Node(
            package='joy',
            executable='joy_node',
    )
    launch_description = LaunchDescription([node1,node2])
    return launch_description
​

Two nodes are running, namely, the yahboom_ctrl handle control node and the joy_node handle key value reading node.

Two node source code reference paths.

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/root/yahboomcar_ws/src/yahboomcar_ctrl/yahboomcar_ctrl

yahboom_joy.py

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#Create subscriber subscription/joy topic data
self.sub_Joy = self.create_subscription(Joy,'joy', self.buttonCallback,10)
​
#Create a publisher to publish speed, servo, buzzer topic data and function gameplay switches
self.pub_cmdVel = self.create_publisher(Twist,'cmd_vel',10)
self.pub_Buzzer = self.create_publisher(UInt16,"beep",  1)
self.pub_JoyState = self.create_publisher(Bool,"JoyState",  10)
self.pub_Servo1 = self.create_publisher(Int32,"servo_s1" , 10)
self.pub_Servo2 = self.create_publisher(Int32,"servo_s2" , 10)
​
#Callback
def buttonCallback(self,joy_data):
    if not isinstance(joy_data, Joy): return
    self.user_jetson(joy_data)
    
#Process key function user_jetson
def user_jetson(self, joy_data):
    #cancel nav
    if joy_data.buttons[7] == 1: self.cancel_nav()
    #Buzzer 
    if joy_data.buttons[11] == 1:
        b = UInt16()
        self.Buzzer_active = not self.Buzzer_active
        b.data = self.Buzzer_active 
        self.pub_Buzzer.publish(b)
   #Gear adjustment, press the rocker to adjust the gear
    xlinear_speed = self.filter_data(joy_data.axes[1]) * self.xspeed_limit * self.linear_Gear        
    angular_speed = self.filter_data(joy_data.axes[2]) * self.angular_speed_limit * self.angular_Gear
    if xlinear_speed > self.xspeed_limit: xlinear_speed = self.xspeed_limit
    elif xlinear_speed < -self.xspeed_limit: xlinear_speed = -self.xspeed_limit
    if angular_speed > self.angular_speed_limit: angular_speed = self.angular_speed_limit
    elif angular_speed < -self.angular_speed_limit: angular_speed = -self.angular_speed_limit
    twist = Twist()
    twist.linear.x = xlinear_speed
    twist.linear.y = 0.0
    twist.angular.z = angular_speed
    #Determine whether the speed can be controlled, that is, whether the R1 key is pressed
    if self.Joy_active == True:
        self.pub_cmdVel.publish(twist)
    #The following is the data for processing the servo control. After pressing it, the angle will increase/decrease by 1. If you continue to press it, the angle will continue to increase and decrease.
    if not joy_data.buttons[1] == 0:
        print("Up")
        self.PWMServo_X += 1
        if self.PWMServo_X <= -90: self.PWMServo_X = -90
        elif self.PWMServo_X >= 90: self.PWMServo_X = 90
        print("self.PWMServo_X: ",self.PWMServo_X)
        print("self.PWMServo_Y: ",self.PWMServo_Y)
        servo1_angle = Int32()
        servo1_angle.data = self.PWMServo_X
        self.pub_Servo1.publish(servo1_angle)
​
    if not joy_data.buttons[3] == 0:
        print("Down")
        self.PWMServo_X -= 1
        if self.PWMServo_X <= -90: self.PWMServo_X = -90
        elif self.PWMServo_X >= 90: self.PWMServo_X = 90
        print("self.PWMServo_X: ",self.PWMServo_X)
        print("self.PWMServo_Y: ",self.PWMServo_Y)
        servo1_angle = Int32()
        servo1_angle.data = self.PWMServo_X
        self.pub_Servo1.publish(servo1_angle)
​
    if  not joy_data.buttons[0] == 0:
        print("Left")
        self.PWMServo_Y -= 1
        if self.PWMServo_Y <= -90: self.PWMServo_Y = -90
        elif self.PWMServo_Y >= 20: self.PWMServo_Y = 20
        servo2_angle = Int32()
        servo2_angle.data = self.PWMServo_Y
        self.pub_Servo2.publish(servo2_angle)
        print("self.PWMServo_X: ",self.PWMServo_X)
        print("self.PWMServo_Y: ",self.PWMServo_Y)
​
    if  not joy_data.buttons[4] == 0:
        print("Right")
        self.PWMServo_Y += 1
        if self.PWMServo_Y <= -90: self.PWMServo_Y = -90
        elif self.PWMServo_Y >= 20: self.PWMServo_Y = 20
        servo2_angle = Int32()
        servo2_angle.data = self.PWMServo_Y
        self.pub_Servo2.publish(servo2_angle)
        print("self.PWMServo_X: ",self.PWMServo_X)
        print("self.PWMServo_Y: ",self.PWMServo_Y)

7. Variables corresponding to remote control key values

Based on the default mode [Controller], the key values corresponding to the remote control are as follows.

remote control eventCorresponding variable
Left joystick upaxes[1]=1
Left joystick downaxes[1]=-1
Right joystick to leftaxes[2]=1
Right joystick to the rightaxes[2]=-1
Button X pressedbutton[3]=1
ButtonB pressedbutton[1]=1
Button Y pressedbutton[4]=1
Button R1 pressedbutton[7]=1
Button start pressedbutton[11]=1
Left joystick pressedbutton[13]=1
Right joystick pressedbutton[14]=1

Combined with the above source code for easy understanding, when these values change, it means that the remote control is pressed and the corresponding program can be executed. To view other buttons, you can subscribe to the /joy topic. Enter the following command in the terminal.

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ros2 topic echo /joy

image-20240123120728855

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Robot keyboard control
Robot state estimation

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