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RDK X3 Robot📖
01. About RDK-X3-Robot
1. Instructions
  • 1. Introduction
  • 2. FAQ
  • 3. Battery and charger use precautions
  • 4.TF card expand capacity
2. Common problem analysis
02. Assembly video
  • Part1-Install Motor
  • Part2-Install Battert Fixing Column
  • Part3-Install Motor Coupling
  • Part4-Install Mecanum wheel
  • Part5-Install Expansion Board
  • Part6-Wiring Show
  • Part7-Install Main Control Board
  • Part8-Install Car Top Plate and Antenna
  • Part9-Install OLED Screen
  • Part10-Install Depth Camera(Optional)
  • Part11-Install OLED Screen
  • Part12-Install HD Camera
  • Part13-Install Top Plate
  • Part14-Install Right Side Plate
  • Part15-Motor Wiring Show
  • Part16-lnstall Car Body
  • Part17-Install Battery
  • Part18-Install Lidar
03. Remote control tutorial
  • 1. The phone APP remote tutorial
  • 2. USB wireless controller remote tutorial
04. ROS functional tutorial
  • 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 tutorial
  • 1. Update the firmware of the expansion module
  • 2. Install the Python driver library
  • 3. Set the type of bottom car
  • 4. Open and close the APP program control
  • 5. Turn hotspot mode on and off
  • 6. The buzzer blows
  • 7. Control the motor forward and reverse
  • 8. Control robot movement
  • 9. OLED display
  • 10. Control fan and lamp effect
06. Development environment setup
  • 1. Virtual Machine
  • 2. Linux Basics
  • 3. Remote connection
  • 4. Multi-computer communication configuration
  • 5. Bind the 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
  • 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 courses
  • 1. Introduction and use of lidar
  • 2. Lidar obstacle avoidance
  • 3. Lidar following
  • 4. Lidar guard
  • 5. Patrol
  • 6. gmapping algorithm
  • 7. cartographer algorithm
  • 8. Navigation and obstacle avoidance
  • 9. App mapping and navigation
10. OpenCV courses
  • 1. Introduction to OpenCV
  • 2. OpenCV geometric transformation
  • 3. OpenCV image processing
  • 4. OpenCV image beautification
  • 5. Qr code creation and identification
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 command
  • 7. Face detection
  • 8. Object detection
  • 9. Visual Inspection -OpenCV
  • 10. Visual inspection - Deep learning
  • 11. Human tracking
  • 12. Gesture control
12. Depth Camera courses
  • 1. Use depth camera
  • 2. Calibration of camera internal reference
  • 3. ROS+OpenCV Foundation
  • 4. AR vision
  • 5. Color tracking
  • 6. Object tracking
13. Multi vehicle control
  • 1. Multi-vehicle synchronous control
  • 2. Multi-vehicle navigation
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
Download
  • RemoteCtrl_APP(iOS/Android))
  • Mapping_APP(iOS_Android)
  • Code
  • System File
  • VM_File
  • Manual
  • Software_File
  • Hardware_File
  • ROS2_Basic_VM
Download ZIP

Welcome to RDK X3 Robot repository

2. Lidar obstacle avoidance

2. Lidar obstacle avoidance fun gameplay

2. Lidar obstacle avoidance fun gameplay2.1 Description of program function2.2. Program Code reference path2.3. Program Startup2.3.1. Car start command2.3.2. Modifying parameters on the VM side2.3.3. View the topic communication node graph2.4. Core Source Code Analysis

 

2.1 Description of program function

After the program starts, the car will move forward, when there is an obstacle in the detection range, it will adjust its attitude, avoid the obstacle, and then continue to move forward.

Enable/pause this function by starting the Dynamic Parameter Adjuster on the virtual machine and clicking [Switch].

In addition, the [L1] button on the handle locks/turns on the car's motion controls. When motion control is enabled, the function is locked; This function can be turned on when the motion control is locked.

2.2. Program Code reference path

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

#python文件#python file
/userdata/yahboomcar_ws/src/yahboomcar_laser/yahboomcar_laser/laser_avoidance.py
#launch文件#launch file
/userdata/yahboomcar_ws/src/yahboomcar_laser/launch/laser_avoidance_launch.py

2.3. Program Startup

2.3.1. Car start command

After SSH connects to the car, terminal input,

xxxxxxxxxx
ros2 launch yahboomcar_laser laser_avoidance_launch.py

2.3.2. Modifying parameters on the VM side

On the virtual machine, open the dynamic parameter adjuster, open the terminal input,

xxxxxxxxxx
ros2 run rqt_reconfigure rqt_reconfigure

1684746125126

The meaning of each parameter is as follows.

parameter nameparameter meaning
SwitchPlay switch
ResponseDistObstacle detection distance
linearThe linear velocity
angularAngular velocity
LaserAngleRadar detection Angle

The above parameters can be adjusted. By checking or unchecking [Switch], the radar obstacle avoidance function can be enabled or suspended.

The other four need to be set when the decimal, modify, press the enter key or click the blank space can be written.

2.3.3. View the topic communication node graph

Virtual machine terminal input,

xxxxxxxxxx
ros2 run rqt_graph rqt_graph

1684746599055

2.4. Core Source Code Analysis

Mainly look at the radar callback function, which explains how to obtain the obstacle distance information at each Angle.

x
def registerScan(self, scan_data):
    if not isinstance(scan_data, LaserScan): return
    self.right_warning = 0
    self.left_warning = 0
    self.front_warning = 0

    ranges = np.array(scan_data.ranges)
    for i in range(len(ranges)):
        if ranges[i] < self.ResponseDist: #range[i]就是雷达扫描的结果,这里指的是距离信息
            #range[i] is the result of radar scanning, here refers to the range information
            angle = (scan_data.angle_min + scan_data.angle_increment * i) * 180 / pi #雷达的信息的angle是弧度制,这里要转换成角度进行计算 
            # The angle of radar information is a radian system, which should be converted into an Angle for calculation
            if angle > 180: angle = angle - 360 #angle是根据雷达的结构来设定判断范围的
#angle is based on the structure of the radar to set the judgment range
            if -self.LaserAngle < angle < -20:
                self.right_warning += 1
            elif abs(angle) <= 20:
                self.front_warning += 1
            elif 20 < angle < self.LaserAngle:
                self.left_warning += 1

    if self.Joy_active == True or self.Switch == False:
        if self.Moving == True:
            self.pub_vel.publish(Twist())
            self.Moving = not self.Moving
        return
    
    self.Moving = True

 

Introduction and use of lidar
Lidar following

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