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RDK X5 Robot📖
01. RDK-X5-Robot Introduction
  • 1.Introduction
  • 2.Common Problem Analysis
  • 3.Battery and charger usage precautions
  • 4.TF card expand capacity
02. Assembly Tutorial
  • Assembly Tutorial
  • Assembly Video-1
  • Assembly Video-2
  • Assembly Video-3
  • Assembly Video-4
03. Remote Control Course
  • 1.Mobile APP remote control
  • 2.USB Wireless Controller Remote Control
04. ROS Driver Board Course
  • 1. Introduction of extension board
  • 2. Set up STM32 development environment
  • 3. Key control buzzer sound
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model remote control
  • 7. CAN bus communication
  • 8. RGB color light strip
  • 9. Timer interrupt control PWM servo
  • 10. Control serial steering gear
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor forward and reverse
  • 13. The timer captures encoder data
  • 14. Theory of robot kinematics analysis
  • 15. PID control robot motion
05. Basic Control Course
  • 1.Update expansion board firmware
  • 2.Install Python driver library
  • 3.Set the car type
  • 4.Open and close APP program control
  • 5.Turn hotspot mode on and off
  • 6.Buzzer sound
  • 7.Control the motor to rotate forward and reverse
  • 8.Controlling robot movement
  • 9.OLED display
  • 10.Control fans and lighting effects
06. Development Environment
  • 1. Virtual machine installation and use
  • 2. Linux Basics
  • 3. Remote connection
  • 4. Multi-machine communication configuration
  • 5. Bind device ID
  • 6. Image installation and backup
07. 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
08. Robot Chassis Control Course
  • 1. PID algorithm theory
  • 2. Robot information release
  • 3. Robot control
  • 4. Robot state estimation
  • 5. Robot calibration
  • 6. Robot trajectory tracking
  • 7. URDF Model
09. LiDAR Course
  • 1. Introduction and use of lidar
  • 2. Lidar obstacle avoidance
  • 3. Lidar tracking
  • 4. Lidar guard
  • 5. Lidar patrol
  • 6. gmapping mapping algorithm
  • 7. Cartographer mapping algorithm
  • 8. Navigation and obstacle avoidance
  • 9. App Mapping and Navigation
10. OpenCV Course
  • 1. Getting started with OpenCV
  • 2. OpenCV geometric transformation
  • 3. OpenCV Image Processing
  • 4. OpenCV image beautification
  • 5. QR code creation and recognition
11. Mipi Camera Course
  • 1. Camera driver
  • 2. Adjust the color HSV value
  • 3. Color recognition
  • 4. Color Tracking
  • 5. Color Follow
  • 6. QR code instructions
  • 7. Face Detection
  • 8. Object Detection
  • 9. Visual line patrol-OpenCV
  • 10. Visual line patrol-deep learning
  • 11. Human body tracking
  • 12. Gesture control
12. Depth Camera Course
  • 1. Use of Depth Camera
  • 2. Camera intrinsic calibration
  • 3. ROS+OpenCV Basics
  • 4. AR Vision
  • 5. Color Tracking
  • 6. Object Tracking
  • 7. RTAB-Map 3D Mapping Navigation
13. Multi-robot Synchronous Control
  • Multi-vehicle synchronous control
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
Download
  • System_File
  • Code
  • VM_File
  • Software_Tools
  • Hardware_Info
  • Firmware
  • Instruction_Manual
  • ROS2_Basic_VM
Download ZIP

Welcome to RDK X5 Robot repository

2. Robot information release

2. Robot information release

2. Robot information release2.1. Program function description2.2. Program code reference path2.3, Program startup2.3.1, Startup command2.3.2, View node topics2.3.3, read topic data

Note: In the subsequent ROS2 related courses, SSH remote connection to the car is applicable for operation. Please refer to the [Remote Connection] section in the tutorial [Development Environment Construction].

2.1. Program function description

After the program is run, combined with the ROS expansion board, you can obtain the information of the sensors on the ROS expansion board, control the movement of the car, control the light strip, buzzer and other functions.

2.2. Program code reference path

After SSH connects to the car, the location of the function source code is located at,

xxxxxxxxxx
/home/sunrise/yahboomcar_ws/src/yahboomcar_bringup/yahboomcar_bringup

Among them, Mcnamu_driver.py is the chassis driver code.

2.3, Program startup

2.3.1, Startup command

After SSH connects to the car, enter,

xxxxxxxxxx
ros2 run yahboomcar_bringup Mcnamu_driver

1684463364272

2.3.2, View node topics

Open the terminal and enter,

xxxxxxxxxx
ros2 topic list

1684465673429

Topic nameTopic content
/BuzzerBuzzer
/RGBLightLighting effect control
/cmd_velSpeed control
/editionVersion information
/imu/data_rawIMU sensor data
/imu/magIMU magnetometer data
/vel_rawCar speed information
/voltageBattery voltage information

2.3.3, read topic data

Take reading voltage as an example, open the terminal input,

xxxxxxxxxx
ros2 topic echo /voltage

![1684461698432](1684461698432.png)

### 2.3.4, publish topic data

Take publishing /cmd_vel data to control the movement of the car as an example, open the terminal input,

ros2 topic pub /cmd_vel geometry_msgs/msg/Twist "{linear: {x: 0.5, y: 0.0, z: 0.0}, angular: {x: 0.0, y: 0.0, z: 0.2}}"

xxxxxxxxxx

![1684462174995](1684462174995.png)

> 【Note】The system has configured the communication between the PC (virtual machine) and the car, so after the car program is running, the virtual machine can also participate in the reception or transmission of ros topic data. Therefore, as long as the communication is normal, there is no need to remotely connect to the car after opening the terminal, and ros2 node/topic/... and other commands can be run directly in the virtual machine terminal.

## 2.4, core source code analysis

Take Mcnamu_driver.py as an example,

```python
from SunriseRobotLib import SunriseRobot #Import driver library

self.car = SunriseRobot() #Instantiate SunriseRobot object

#create subcriber Create subscriber
self.sub_cmd_vel = self.create_subscription(Twist,"cmd_vel",self.cmd_vel_callback,1)
self.sub_RGBLight = self.create_subscription(Int32,"RGBLight",self.RGBLightcallback,100)
self.sub_BUzzer = self.create_subscription(Bool,"Buzzer",self.Buzzercallback,100)

#create publisher Create publisher
self.EdiPublisher = self.create_publisher(Float32,"edition",100)
self.volPublisher = self.create_publisher(Float32,"voltage",100) self.velPublisher = self.create_publisher(Twist,"vel_raw",50) self.imuPublisher = self.create_publisher(Imu,"/imu/data_raw",100) self.magPublisher = self.create_publisher(MagneticField,"/imu/mag",100) #Call the library and read the information of the ros expansion board edition.data = self.car.get_version() battery.data = self.car.get_battery_voltage() ax, ay, az = self.car.get_accelerometer_data() gx, gy, gz = self.car.get_gyroscope_data() mx, my, mz = self.car.get_magnetometer_data() vx, vy, angular = self.car.get_motion_data() #publish Publish topic data
self.EdiPublisher.publish(edition)
self.volPublisher.publish(battery)
self.imuPublisher.publish(imu)
self.magPublisher.publish(mag)
self.velPublisher.publish(twist)

#callback Subscriber callback function
def cmd_vel_callback(self,msg):
def RGBLightcallback(self,msg):
def Buzzercallback(self,msg):

For detailed code, please refer to the code Mcnamu_driver.py.

PID algorithm theory
Robot control

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