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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.Intelligent interaction

AI Voice Interaction: Intelligent Interaction

AI Voice Interaction: Intelligent InteractionFunction IntroductionFunction ExperienceProgram source codeFunctional principle

Function Introduction

This case is the gameplay of the startup program. You can use fixed voice command words to make the robot dog do corresponding actions. This function needs to be connected to the network to run normally

Function Experience

  1. Turn on the robot dog first, press the button on the upper right of the "dog head" to enter the sample mode, and then select the voice recognition function.

image-2025042700001

  1. After entering the voice recognition function, wake up with voice first, "lulu".

image-2025042700002

  1. When you hear a ding, you can say the prompt word at the bottom of the screen.

image-2025042700003

image-2025042700004

  1. The robot dog will recognize the semantics and move.

Program source code

  1. First, log in to the robot dog system through VNC
  2. Then enter the terminal
xxxxxxxxxx
#cm4 run
cd /home/pi/RaspberryPi-CM4-main/demos/speech/
​
#cm5 run
cd /home/pi/RaspberryPi-CM5/demos/speech/
​
tree
  1. Directory structure description ├── audio.py #Recording file ├── auto_platform.py #System environment dependency ├── language_recognize.py #Speech recognition ├── libnyumaya.py #Speech wake-up └── speech.py ​​#Speech interaction main function
​x
python Main function analysis
def actions_dog(act):
​
    command_actions = {
        "cn": {
            "跳舞": 23,
            "俯卧撑": 21,
            "撒尿": 11,
            "伸懒腰": 14,
            "祈祷": 17,
            "找食物": 18,
            "鸡头":20,
            "向下抓取": 130,
            "波浪": 15,"拨浪":15,
        },
        "en": {
             "dance": 23, "let's dance": 23,
             "push up": 21,"push": 21,
             "pee": 11, "take a pee": 11, "take": 11,
             "stretch": 14, "body": 14,"stretch body": 14,
             "pray": 17,"start": 17, "start pray": 17,
             "food": 18,"look": 18, "look for food": 18,
             "head": 20, "chicken": 20,"chicken head": 20,
             "pick": 130, "pick up": 130,
             "wave": 15,"do wave": 15,
        }
    }
​
    commands = command_actions.get(la, command_actions["en"])

command_actions: defines the actions to be performed after speech recognition. If you want to add more command words, you can add one according to the action group in the protocol. For example: the dance action group id mentioned above is 23, which is checked from the action group table. You can also check the action group id according to the section of executing preset actions in Chapter 2.

image-2025042700006

Functional principle

The specific flow chart is as follows:

image-2025042700005

Picture to text
Voice intelligent vision

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