yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
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。

1. Multi-machine handle control

Multi-car handle control

Note: The ROS_DOMAIN_ID of the Raspberry Pi needs to be consistent with that of the microROS control board. 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

After the program is started, the two cars can be controlled to move synchronously through the handle. The controller program here is based on the [ROS Robot USB Wireless Controller] sold by Yabo Intelligent Technology as an example. Other controller programs may not be suitable, and the program needs to be modified according to the actual remote control key values.

2、Multi-machine function basic settings

Taking two cars as an example, it is recommended to use two cars with Raspberry Pi, change the config_robot.py file respectively, set robot.set_ros_namespace() to robot1 and robot2 respectively, and set the ROS_DOMAIN_ID and virtual name of the two cars. The ROS_DOMAIN_ID of the machine needs to be set to the same. Then open the terminal in the /home/pi directory and enter sudo python3 config_robot.py to run this program (you need to change it back and re-run this program to run other programs except multi-car).

image-20240201152110494

3、Start and connect to the agent

After the Raspberry Pi is successfully powered on, open the terminal and enter the following command to open the agent.

sh ~/start_agent_rpi5.sh

image-20240201152421403

Press the reset button on the microROS control board and wait for the car to connect to the agent. The connection is successful as shown in the figure below.

image-20240201152436254

4、Enter the car docker

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

xxxxxxxxxx
sh ros2_humble.sh 

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

image-20240201152453970

Check the currently started node. Choose one of the two Raspberry Pis and open the terminal for input.

xxxxxxxxxx
ros2 node list

image-20240201155219791

As shown in the picture above, the nodes of both cars have been started. To query the current topic information, enter in the terminal.

xxxxxxxxxx
ros2 topic list

image-20240201155338312

5、Start the handle control program

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

image-20240201162330293

In the Raspberry Pi with the controller receiver connected, open the terminal and enter the following command.

xxxxxxxxxx
ros2 run joy joy_node
ros2 run yahboomcar_multi multi_joy_ctrl

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: The handle controls the speed switch. Only after pressing it can the speed of the car be controlled by remote control.

  • 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.

6、View node communication diagram

Choose one of the two Raspberry Pis and enter the following command in the terminal.

xxxxxxxxxx
ros2 run rqt_graph rqt_graph

image-20240201162114246

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

7、Source code analysis

Source code reference path (taking the supporting virtual machine as an example):

xxxxxxxxxx
/home/root/yahboomcar_ws/src/yahboomcar_multi/yahboomcar_multi

multi_yahboom_joy.py,

x
#创建话题发布者
#Create topic publisher
self.pub_goal = self.create_publisher(GoalID,"move_base/cancel",10)
self.pub_JoyState = self.create_publisher(Bool,"JoyState",  10)
#cmd_vel
self.pub_cmdVel_r1 = self.create_publisher(Twist,'/robot1/cmd_vel',10)
self.pub_cmdVel_r2 = self.create_publisher(Twist,'/robot2/cmd_vel',10)
#beep
self.pub_Buzzer_r1 = self.create_publisher(UInt16,"/robot1/beep",  1)
self.pub_Buzzer_r2 = self.create_publisher(UInt16,"/robot2/beep",  1)
#servo1
self.pub_Servo1_r1 = self.create_publisher(Int32,"/robot1/servo_s1" , 10)
self.pub_Servo1_r2 = self.create_publisher(Int32,"robot2/servo_s1" , 10)
#servo2
self.pub_Servo2_r1 = self.create_publisher(Int32,"/robot1/servo_s2" , 10)
self.pub_Servo2_r2= self.create_publisher(Int32,"/robot2/servo_s2" , 10)
#Create topic subscribers and subscribe to /joy node information
self.sub_Joy = self.create_subscription(Joy,'joy', self.buttonCallback,10)
#Callback
def buttonCallback(self,joy_data):
    if not isinstance(joy_data, Joy): return
    self.user_jetson(joy_data)
#Process the remote control key value. For detailed code, please refer to the user_jetson function.
#Publishing speed topic
self.pub_cmdVel_r1.publish(twist)
self.pub_cmdVel_r2.publish(twist)
#Publishing speed topic
self.pub_Buzzer_r1.publish(b)
self.pub_Buzzer_r2.publish(b)
#Publish gimbal servo data (Raspberry Pi 5 version)
#PTZ 1
self.pub_Servo1_r1.publish(servo1_angle)
self.pub_Servo1_r2.publish(servo1_angle)
#PTZ 2
self.pub_Servo2_r1.publish(servo2_angle)
self.pub_Servo2_r2.publish(servo2_angle)

 

 

 

 

ROS Robot APP navigation
Multi-machine keyboard control

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文