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MicroROS Robot Expansion Board📖
01. 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
02. 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.Drive ESP32 WiFi camera
03. 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
04.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
05. Robot basic course
4.1 Robot information release
  • Robot information release
4.0 Preparation
  • 1. Write firmware
  • 2. How to install and use VM
  • 3. microROS control board configuration
  • 4. Connect to microROS agent
4.2 Robot keyboard control
  • Robot keyboard control
4.3 Robot handle control
  • Robot handle control
4.4 Robot state estimation
  • Robot state estimation
4.5 Line speed calibration
  • Line speed calibration
4.6 Angular velocity calibration
  • Angular velocity calibration
4.7 Robot URDF model
  • Robot URDF model
Download
  • Firmware And Code
  • VM_File
  • 3D Model File
  • ROS2_Basic_VM
Download ZIP

Welcome to MicroROS Robot Expansion Board repository

Robot handle control

Robot handle control

Note: The virtual machine needs to be in the same LAN as the car, and the ROS_DOMAIN_ID needs to be consistent. You can check [Must read before use] to set the IP and ROS_DOMAIN_ID on the board.

1、Program function description

The car is connected to the agent, the receiver of the handle is connected to the virtual machine port/Raspberry Pi 2 port, and the program is run, and the car movement, buzzer and gimbal servo can be controlled remotely.

2、Start and connect to the agent

Taking the supporting virtual machine as an example, enter the following command to start the agent:

sudo 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-20240102115334500

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-20231220112211061

3、starting program

To connect the virtual machine to the controller receiver, you need to ensure that the virtual machine can recognize the controller receiver. As shown in the figure below, the connection is successful.

image-20231220112453720

If it is not connected, check [Virtual Machine]->[Removable Devices] in the menu bar above the virtual machine toolbar and check whether [DragonRise Controller] is checked.

Enter the following command in the terminal to start the program.

xxxxxxxxxx
#Handle remote control car program
ros2 run yahboomcar_ctrl yahboom_joy    
#Get remote sensing data
ros2 run joy joy_node 

image-20231220113745011

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

  • Left rocker: valid in the front and rear directions, controls the car forward and backward, invalid in the left and right 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.

4、Node communication diagram

Terminal input,

xxxxxxxxxx
ros2 run rqt_graph rqt_graph

image-20231220115844075

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

5、Code analysis

Source code reference path (already equipped with a virtual machine as an example),

xxxxxxxxxx
/home/yahboom/yahboomcar_ws/src/yahboomcar_ctrl/yahboomcar_ctrl

yahboom_joy.py

​x
##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 control
    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)

6、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
Button B pressedbutton[1]=1
Button Y pressedbutton[4]=1
Button R1 pressedbutton[7]=1
start button 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. View other button presses, subscribe to/joy topics, terminal input,

xxxxxxxxxx
ros2 topic echo /joy

image-20231220141805260

Robot keyboard control
Robot state estimation

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