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DOGZILLA-Lite📖
1. Get started quickly
  • 0. Notes (Must Read)new
  • 1. Main interface function experience (cm5)new
  • 1. Main interface function experience(cm4)
  • 2. APP control experience
  • 3. Web page image transmission control
  • 4. LLM-Embodied Intelligence Capabilities
  • 5. LLM-Smart Dog Capabilities
2. Basic operations of Raspberry Pi system
  • 1.SSH remote login
  • 2.VNC remote login desktop
  • 3.Remote file transfer
  • 4.JupyterLab environment construction and use
  • 5.Burn the system image
  • 6.Connect to WiFi
  • 7.Close large programs
  • 8.Raspberry Pi system expansion
3. Basic control of the dogzilla
  • 0. Introduction to DOGZILLA-Lite
  • 1. Screen display control
  • 2. Record Audio
  • 3. Play Audio
  • 4. Text to audio
  • 5. Voice to text
  • 6. Record Video
  • 7. Play Video
  • 8. Video recording function
  • 9. Read the posture angle
  • 10. Battery level reading
  • 11. Read the servo angle
  • 12. Screen display of expressions
  • 13. Calibration of the robot dog
  • 14. Burn the firmware
  • 15. Analysis of common problems
4. Motion control of the dogzilla
  • 1. The dog's forward, backward, left, and right movements and gait
  • 2. Dog Spin
  • 3. The dog adjusts its height and posture
  • 4. Dog periodic translation and rotation
  • 5. Self-balancing mode
  • 6. The dog performs preset actions
  • 7. Single Leg Control
  • 8. Robotic arm control
  • 9. Teaching mode
  • 10. Group Control Performance
  • 11. Teaching demonstration onlinenew
5. Open Source CV
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 drawing text segments
  • 1. Grayscale processing
  • 2. Image Binarization
  • 3. Edge Detection
  • 4. Line drawing
  • 5. Rectangle and circle drawing
  • 6. Text and picture drawing
D. Image beautification
  • 1. Color Image Histogram
  • 2. Histogram Equalization
  • 3. Image repair
  • 4. Brightness enhancement
  • 5. Skin whitening
  • 6. Gaussian mean filtering
  • 7. Median Filter
6. AI recognition of the dogzilla
  • 1. Camera driver tutorial
  • 2. Color recognition
  • 3. HSV value test
  • 4. Object Recognition
  • 5. QR code recognition
  • 6. License Plate Recognition
  • 7. Human Pose Estimation
  • 8. Yolo detection
  • 9. Face Detection
  • 10. Human face mask
  • 11. Face effects
  • 12. 3D Object Recognition
  • 13. Paintbrush
  • 14. Finger recognition
  • 15. Gesture Recognition
  • 16. Age and gender identification
  • 17. Background Segmentation
  • 18. Facial Recognitionnew
  • 19. Emotion Recognitionnew
  • 20. Motion Detectionnew
7. Dogzilla AI Interaction
  • 1. Color patrol
  • 2. Line patrol and obstacle removal
  • 3. Color tracking
  • 4. Ball tracking
  • 5. The ball follows
  • 6. QR code recognition exercise
  • 7. Face tracking
  • 8. Remote control
  • 9. Gesture tracking
  • 10. Gesture-controlled movement
  • 11. You Drop, I Pick
  • 12. Independent football exercise
  • 13. Human Body Followingnew
8. AI large model interaction
  • 0.AI large model principle foundation
  • 1.Large model premise use configuration
  • 2.Q&A
  • 3.Embodied intelligence
  • 4.Smart dog
  • 5.Picture to text
  • 6.Intelligent interaction
  • 7.Voice intelligent vision
  • 8.Playing football
  • 9.Block gripping
  • 10.Line tracking and obstacle removal
  • 11.Control object tracking
Download
  • System_File
  • Code
  • Firmware
  • Communication interface
  • Instruction Manual
  • Appendix
Download ZIP

Welcome to DOGZILLA-Lite repository

6. The dog performs preset actions

The dog performs a preset action

1. Purpose

Learn to control the preset actions of the robot dog

If you want to climb stairs, you need to use firmware V4.3.2 or above, otherwise it will not work.

2. Experimental path source code

Enter the robot dog system, end the robot dog program, enter "ip (ip is the robot dog's ip): 8888" in the browser, and enter the password "yahboom"

image-2024112100001

Then log in and go to cd ~/DOGZILLA_Lite_class/3.Dog Base Control/06.Execute preset actions and run contorl_action.ipynb .

3. Experimental Phenomenon

After running the source code, run it to the end, and then control the preset actions according to the buttons at the bottom, and the robot dog will execute the corresponding action group. If you want the button prompt to be in Chinese, change False to True here. The default is English

image-2025031100003

image-2025031100002

4. Main source code analysis

  1. g_dog.action(num)
  • Incoming parameter: num The action group number corresponding to the action group is as follows

    image-2025031100001

Self-balancing mode
Single Leg Control

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