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Raspbot V2📖
1.About Raspbot V2
  • 1. First trial
  • 2. Expansion board interface distribution
  • 3. About battery and charging
  • 4. Install servo PTZ
  • 5.Servo Gimbal Installation
  • 6. Important Notes (Read Before Starting)
2.Assembly
  • Installation Video
3.Car basic course
  • 0. Preparation before development
  • 1.Buzzer control
  • 2.Key reading
  • 3.RGB control
  • 4.Servo control (PTZ control)
  • 5.Motor control
  • 6.Printing ultrasonic data
  • 7.Tracking module status printing
  • 8.IR control key value printing
4.Car motion control course
  • 0.Mecanum wheel motion principle
  • 1.Car vertical movement
  • 2.Car diagonal movement
  • 3.Car sideways movement
  • 4.Car rotation movement
  • 5.Car patrol
5.Car advanced courses
  • 1.Infrared patrol car
  • 2.Ultrasonic avoid
  • 3.Ultrasonic follow
  • 4.Infrared tracking+ ultrasonic avoid
  • 5.Restricting
  • 6.Infrared remote control car
6.OpenCV courses
A. Getting Started with OpenCV
  • 1. Introduction to OpenCV
  • 2.OpenCV image reading and display
  • 3. OpenCV image writing
  • 4. OpenCV Image Quality
  • 5.OpenCV pixel operations
B. OpenCV geometric transformation
  • 1. Image scaling
  • 2. Image cutting
  • 3. Image translation
  • 4. Image mirroring
  • 5. Affine Transformation
  • 6. Image Rotation
  • 7. Perspective Transformation
C. OpenCV image processing and text line drawing
  • 1. Grayscale processing
  • 2. Image Binarization
  • 3. Edge Detection
  • 4. Line drawing
  • 5. Rectangle and circle drawing
  • 6. Text and image drawing
D. Image beautification
  • 1. Color Image Histogram
  • 2. Histogram Equalization
  • 3. Image repair
  • 4. Brightness enhancement
  • 5. Smooth and whiten
  • 6. Gaussian mean filtering
  • 7. Median Filter
E. Machine Learning
  • 1. KNN
  • 2. SVM
7.AI vision recognition course
  • 1.Camera driver tutorial
  • 2.Color recognition
  • 3.HSV value test
  • 4.Object Recognition
  • 5.QR code recognition
  • 6.Face recognition
  • 7.License Plate Recognition
  • 8. Human Pose Estimation
  • 9. Target detection
  • 10.yolov5-lite
  • 11. Gesture Recognition
  • 12. Face Detection
  • 13. Face effects
  • 14. 3D Object Recognition
  • 15. Paintbrush
  • 16. Finger control
8.AI vision interaction module
  • 1. Color tracking
  • 2. Color follows
  • 3. QR code recognition to control movement
  • 4. Face tracking
  • 5. Face following
  • 6. Visual tracking
  • 7. Garbage identification
  • 8. Track map Autopilot(purchased separately)
  • 9. Gesture following
9.Voice control basic course(For Superior Kit)new
  • 1.Voice control car movement
  • 2.Voice control RGB light
  • 3.Voice control color recognition
  • 4.Voice control autonomous driving
  • 5.Voice control car tracking
10.AI large model knowledge(For Superior Kit)new
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
  • 5.Configure AI large model(Required)
11.AI Large Model Development(For Superior Kit & Reference)new
  • 1.Register a model service provider account
  • 2. Configuring API-KEY(Optional)
  • 3. Introduction to Dify
  • 4. Basic Dify Features
  • 5. Deploy the RAG knowledge base
  • 6. AI Large Model Development - chatbot
  • 7. RAG knowledge base + chatbot
  • 8. AI agent workflow
  • 9. Custom wake-up response
  • 10. Core module testing tools
12.AI large basic course(For Superior Kit)new
  • 1.Free conversation
  • 2.Text-to-picture
  • 3.Scene description
  • 4.Video description
  • 5.Intelligent action choreography
  • 6.Dual-model agent application
13.ROS2-Robot chassis control course
  • 1. Robot information release
  • 2. Robot keyboard control
  • 3. URDF Model
14.ROS2-OpenCV course
  • 1.ROS+Opencv application
  • 2. AR Vision
  • 3. Mediapipe fun gameplay
  • 4. Gesture control car movement
  • 5. Gesture control car actions
  • 6. Palm control car movement
  • 7. Palm control servo PTZ
  • 8. Visual tracking
  • 9. AprilTag code recognition
  • 10. AprilTag tag code tracking
  • 11. AprilTag tag code follow
15.Development environment course
  • 1. Introduction to Raspberry Pi 5
  • 2. Image writing and backup
  • 3. Start the Raspberry Pi 5
  • 4. Remote Access
  • 5. Remote file transfer
  • 6. Common Linux commands and use of vim editor
  • 7. Install Raspbot V2 driver library
  • 8. Jupyter Lab environment construction
  • 9. Jupyter Lab plugin installation
  • 10. Basic use of Jupyter Widgets
16.Raspberry Pi basic settings
  • 1.Update and upgrade the operating system
  • 2. Introduction to raspi-config tool
  • 3. config.txt file description
  • 4. Network Configuration
  • 5. Set display resolution and rotation
  • 6. Set screen sleep
  • 7. Get real-time temperature of RPi
  • 8. Play audio and video
  • 9. Use USB Camera
  • 10.Use MIPI camera
17.Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Understand and publish images
  • 4. Docker data processing
  • 5. Enter docker container
18.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
Download
  • APP(iOS/Android)
  • Code
  • System_File
  • Instruction Manual
  • Hardware_Info
  • 3D_Model_File
  • ROS2_Basic_VM
Download ZIP

Welcome to Raspbot V2 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。

0. Preparation before development

0.Preparation before development

0.Preparation before development1. Close the startup program1.1. Temporary closing1.2. Permanent shutdown1.3. Set up auto-start at boot1.4. Temporary start2. Start Jupyter Lab3. HelloWorldCode BlockWrite codeRun codeCode block descriptionNotes

1. Close the startup program

In order to facilitate the experience of the APP function of the car, a program is added to the system. This program combines the control functions and gameplay of the APP, so it is called "big program". When the motherboard system is turned on, this program will automatically start, so it is called "boot-start big program".

The startup self-start big program is just for the convenience of experiencing the mobile phone APP function. In actual development, it is necessary to close the big program, otherwise it will occupy the device and cause unpredictable errors. Therefore, before developing the program, please manually close the startup self-start big program.

There are two ways to close the startup self-start big program. One is to close it only once, and it will automatically start the next time you start it. It is called temporary closing. The other way is that after closing it, it will not automatically start again the next time you start it, unless it is manually reopened, which is called permanent closing.

1.1. Temporary closing

To close it temporarily, you need to log in to the Raspberry Pi remotely first. For information on how to log in, please refer to the section 4. Remote Access in "11. Development Environment Setup"

After logging in remotely, enter the following command in the terminal to temporarily shut down

sh /home/pi/project_demo/raspbot/killprocess.sh

1.2. Permanent shutdown

After logging in remotely, enter the following command in the terminal to permanently shut down

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rm -rf /home/pi/project_demo/raspbot/start_raspbot.desktop

1.3. Set up auto-start at boot

After logging in remotely, enter the following command in the terminal to temporarily start

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cp -r /home/pi/project_demo/raspbot/start_raspbot.desktop /home/pi/.config/autostart/

1.4. Temporary start

Before temporarily starting a large program, you need to check whether there is a process occupying the network port

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lsof -i :6001

Note: The value of the kill command PID (892808) needs to be modified according to the actual terminal display, otherwise the port occupation cannot be closed

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kill 892708

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python3 /home/pi/project_demo/raspbot/raspbot.pyc

2. Start Jupyter Lab

Note: The factory image has been set to start automatically, no need to run the command again

Example: The IP of the Raspberry Pi is 192.168.2.95. After starting Jupyter Lab, you can enter 192.168.95:8888 in the browser of the device in the same LAN or the local machine to access Jupyter Lab. If prompted for a password, enter: yahboom

3. HelloWorld

Write and run the HelloWorld program.

  • Create a new file and name it HelloWorld

Right-click the file browser menu bar, select "New Notebook", select Python3 as the kernel, and rename it to HelloWorld

image-20231214203031992

image-20231214203217379

Code Block

Select the following position to add code blocks up or down

image-20231214203336046

Write code

image-20231214203651399

Run code

image-20231214203717232

Code block description

The content in the [ ] on the left side of the code block has two states: * and numbers

*: Indicates that the code block is still running

Numbers: Indicates the order in which the code block is executed

image-20231214203938608

Notes

If you want to reset or encounter abnormal problems during the code running, you can follow the following steps: restart all kernels and clear all code block outputs.

image-20231214204515594

Installation Video
Buzzer control

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