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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

7. Single Leg Control

Single Leg Control

1. Purpose

Learning single-leg control of a robot dog

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/07.Dog Single Leg Control and run Single_Leg_Control.ipynb .

3. Experimental Phenomenon

After running each source code, you can assign a value according to the control you want to control the single leg of the mechanical dog.

4. Main source code analysis

This source code uses kinematic forward and inverse solutions to control a leg's servo and unload and load the servo. The servo ID and leg name are located in the robot dog as shown in the figure:

image-2024112100002

  1. motor(motor_id, data): The API function for positive calculation, which inputs the servo ID number and the corresponding servo angle to control the rotation of the servo
Parameter namescopeillustrate
motor_id[11,12,13,21,22,23,31,32,33,41,42,43,51,52,53]The first digit represents the leg where the servo is located, and the second digit represents the position on the leg, from bottom to top, they are 1, 2, 3 (51\52\53 are the ID numbers of the robot arm, which will not be explained in detail in this chapter, but will be explained in the robot arm chapter)
dataLower: [-70, 50], Middle: [-66, 93], Upper: [-31, 31]This parameter represents the angular position of the servo, in degrees
  1. leg(leg_id, data): Kinematic inverse solution API function, which passes in the end position of the leg and controls the robot dog's servo to reach the corresponding angle through the inverse solution algorithm.
Parameter namescopeillustrate
leg_id1, 2, 3, 4Respectively represent the left front leg, right front leg, right hind leg, left hind leg
datax:[-35,35],y:[-18,18],z:[75,115]This parameter represents the foot end position, the unit is mm

The four legs take the middle point of their shoulders as the origin, the front is the positive direction of the X axis, the left is the positive direction of the Y axis, and the bottom is the direction of the Z axis.

image-2024112100003

  1. load_motor(leg_id): Loading a single leg servo . At this time, you cannot change the state of the leg to be loaded by hand when the robot is powered on.
Parameter namescopeillustrate
leg_id1, 2, 3, 4Respectively represent the left front leg, right front leg, right hind leg, left hind leg
  1. unload_motor(leg_id): unload a single leg servo . At this time, you can use your hand to change the shape of the leg to be unloaded when the robot dog is powered on.
Parameter namescopeillustrate
leg_id1, 2, 3, 4Respectively represent the left front leg, right front leg, right hind leg, left hind leg

The dog performs preset actions
Robotic arm control

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