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DOFBOT Pro📖
1. Get started quickly
  • 0.Unboxing introduction video
  • 1. First Trial
  • 2. Analysis of common problems
  • 3. Calibration offset
  • 4. Jetpack old system upgraded to SUPER system
  • 5. Precautions for DIY Robotic Arm
  • 6. Jetson Nano Version – Must Read
  • 7.Robotic arm gripping anomaly solutions
2. Assembly course
  • 1. Installation video
  • 2. Calibrate the Robotic Arm
  • 3. Install the map
3. Remote control course
  • 1. Mobile APP control
  • 2. USB handle control
  • 3. PC web page programming
4. Preparation
  • 1. Manage APP control services
  • 2. Manage JupyterLab services
  • 3. Manage OLED services
  • 4. Modifying ROS_DOMAIN_ID for Multi-Machine
5. 2D visual tracking course
  • 1. Color block positioning
  • 2. Color block tracking
  • 3. Face positioning
  • 4. Face tracking
  • 5. Label code positioning
  • 6. Label code tracking
6. 2D visual grabbing course
  • 1. Identify grab color block
  • 2. Catch game
  • 3. Color sorting
  • 4. Color stacking
  • 5. Label code sorting
  • 6. Label code stacking
  • 7. Identify gesture grab color block
  • 8. Gesture stacking
  • 9.1 Single garbage sorting(Jetson-Nano)
  • 9.2 Single garbage sorting(Orin)
  • 10.1 Garbage sorting(Jetson-Nano)
  • 10.2 Garbage sorting(Orin)
  • 11. Tracking game
7. 2D Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall detection
  • 4. Facial Detection
  • 5. Face Detection
  • 6. Face effects
  • 7. 3D Object Recognition
  • 8. Paintbrush
  • 9. Finger control
  • 10. Gesture Recognition
  • 11. Gesture control robotic arm action group
  • 12. Arm posture control robotic arm
  • 13. Palm Targeting
  • 14.1 Robotic arm tracks the palm(Jetson-Nano)
  • 14.2 Robotic arm tracks the palm(Orin)
  • 15. Fingertip trajectory recognition
  • 16. Fingertip trajectory control robotic arm
  • 17. Gesture Grasp and Release Objects
  • 18. Finger Control Robot Arm
8. AI Large Model Voice Module (Must Read)new
  • 1. Introduction to AI Large Model Voice Module
  • 2. Flash the firmware (Must read)
  • 3. Modify the wake-up word and command word
9. 2D Voice Control Course
  • 1.Simple Voice Control
  • 2.Smart Voice Control
  • 3.Voice Action Control
  • 4.Memory Learning Mode
  • 5.Color Recognition with Voice Broadcast
  • 6.Color Recognition and Grasping with Voice Broadcast
  • 7.Color Recognition and Sorting with Voice Broadcast
  • 8.Voice Recognition Target Tracking
  • 9.Voice Control Stacking
  • 10.Voice Control Color Sorting
  • 11.1 Garbage Recognition with Voice Broadcast(Jetson Nano)
  • 11.2 Garbage Recognition with Voice Broadcast(Orin)
  • 12.1 Garbage Sorting with Voice Broadcast(Jetson Nano)
  • 12.2 Garbage Sorting with Voice Broadcast(Orin)
10. 3D Depth Camera Course
  • 1. Dabai_DCW2 camera
  • 2. Deep Pseudo-Color Image
  • 3. Depth camera ranging
  • 4. Color block volume measurement
11. 3D Robotic Arm Control and Inverse Kinematics
  • 1. Robotic arm ROS control
  • 2. Inverse solution
12. 3D Sorting and Grasping Course
  • 1. AprilTag ID sorting
  • 2. AprilTag abnormal height sorting
  • 3. MediaPipe Gesture-AprilTag ID sorting
  • 4. MediaPipe Gesture-AprilTag height sorting
  • 5. MediaPipe Gesture-AprilTag distance sorting
  • 6. Block color sorting
  • 7. Block abnormal height sorting
  • 8. Block different shape sorting
  • 9. Block shape abnormal height sorting
  • 10. Yolov11 garbage sorting(Orin)
13. 3D Tracking and Grasping Course
  • 1. AprilTag Tracking and Grasping
  • 2. Color Block Tracking and Grasping
  • 3. KCF Object Tracking and Grasping
14. 3D Voice Control for Grasping Course (Sorting & Tracking)
  • 1. Voice Control AprilTag ID Sorting
  • 2. Voice Control Remove Height Abnormal AprilTag
  • 3. Voice Control Tracking and Grasping AprilTag
  • 4. Voice Control Color Block Sorting
  • 5. Voice Control Remove Height Abnormal Color Block
  • 6. Voice Control Tracking and Grasping Color Block
  • 7. Voice Control Yolov11 Garbage Recognition Sorting
  • 8. Voice Control Object Tracking and Grasping
15. AI Model Basicsnew
  • 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
16. AI Model Developmentnew
  • 1.Register a model service provider account
  • 2. Configure API-KEY
  • 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
17. AI Model – Text Versionnew
  • 1. Semantic understand instruction following
  • 2. Multimodal visual understand
  • 3. Text Large Model + robotic arm control
  • 4. Multimodal Large Model+video understanding
  • 5. Multimodal Large Model+robotic arm gripping
  • 6. Multimodal Large Model+robotic arm tracking
  • 7. Multimodal Large Model+robotic arm sorting
  • 8. Multimodal Large Model+robotic arm handling
  • 9. Multimodal Large Model+Color Blocks Back In Place
  • 10. Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11. Text Large Model + YOLOv11 + Intelligent Garbage Classification
18. AI Model – Voice Versionnew
  • 1. Semantic understand instruction following
  • 2. Multimodal visual understand
  • 3. Text Large Model + robotic arm control
  • 4. Multimodal Large Model+video understanding
  • 5. Multimodal Large Model+robotic arm gripping
  • 6. Multimodal Large Model+robotic arm tracking
  • 7. Multimodal Large Model+robotic arm sorting
  • 8. Multimodal Large Model+robotic arm handling
  • 9. Multimodal Large Model+Color Blocks Back In Place
  • 10. Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11. Text Large Model + YOLOv11 + Intelligent Garbage Classification
19. AI Model – Fun Applicationsnew
  • 1.AI Butler-Intent Inference
  • 2.AI Encyclopedia-Arithmetic Master
  • 3.AI Encyclopedia-You asked I Pointed
  • 4.AI Encyclopedia-Nutritional Analysis
  • 5.AI Encyclopedia-Problem Solving Expert
  • 6.AI Encyclopedia-English Spelling
  • 7.AI Butler-Garbage Sorting
  • 8.AI Top Chef
20. MoveIt Course
  • 1. MoveIt Configuration
  • 2. MoveIt Usage
  • 3. MoveIt Drive Real Robot
  • 4. MoveIt Random Movement
  • 5. MoveIt Forward Kinematics Design
  • 6. MoveIt Inverse Kinematics Design
  • 7. MoveIt Cartesian Path
  • 8. MoveIt Scene Design
  • 9. MoveIt Trajectory Planning
  • 10. MoveIt Collision Detection
21. YOLOv11 Development Course (ORIN)
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
  • 9. Dataset Annotation
  • 10. Model Training_Conversion
  • 11. Model Prediction
22. YOLOv11 Development Course (Jetson Nano)
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
  • 9. Model Prediction
23. Linux Operating System
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
24. Basic Control Course
  • 1. Control RGB Light
  • 2. Control Buzzer
  • 3. Control Single Servo
  • 4. Read Servo Angle
  • 5. Control All Servos
  • 6. DOFBOT Up Down Left Right Movement
  • 7.DOFBOT dancing
  • 8. DOFBOT Memory Actions
  • 9. DOFBOT Grab Blocks
  • 10. Porter
  • 11. Stack Blocks
  • 12. Two DOFBOT Synchronized Actions
25. Jetson Board Basic Course
  • 1. Jetson board Introduction
  • 2. Write system image
  • 3. Re-write system image
  • 4. System startup
  • 5. System and desktop introduction
  • 6. System expansion
  • 7. Network Configuration
  • 8. SSH remote login and file transfer
  • 9. VNC Remote Login
  • 10. System backup
  • 11. Increased swap space
  • 12. Use of Jtop
26. GPIO Hardware Control Course
Jetson Nano
  • 1.GPIO library API usage
  • 2. Hardware library configuration
  • 3. Pin reading function
  • 4. Pin level output control
  • 5. Control LED
  • 6. External device serial communication
  • 7.I2C communication
Jetson Orin Nano_NX
  • 1.GPIO description
  • 2.GPIO library installation
  • 3.GPIO reading
  • 4.GPIO output
  • 5.Serial communication
  • 6.I2C communication
27. OpenCV Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Picture cut
  • 8. Picture pan
  • 9. Picture mirroring
  • 10. Affine transformation
  • 11. Picture rotation
  • 12. Perspective transformation
  • 13. Grayscale processing
  • 14. Binary image
  • 15. Edge green detection
  • 16. Line segment drawing
  • 17. Rectangular circle drawing
  • 18. Text and picture drawing
28. Visual Basics Course
  • 1. Camera display
  • 2. Color Calibration
  • 3. Color recognition
  • 4. Face Detection
  • 5.1 Garbage Identification(Jetson-Nano)
  • 5.2 Garbage Identification(Orin)
  • 6.1 Object Recognition(Jetson-Nano)
  • 6.2 Object Recognition(Orin)
  • 7. Label code recognition
  • 8.PID algorithm basics
29. 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
30. Visual Advanced Course
  • 1.QR code
  • 2.Human pose estimation
  • 3.Target Detection
  • 4.AR vision
  • 5.ROS+Opencv basics
  • 6.AR QR code
  • 7.Face recognition
  • 8.harris corner detection
  • 9.Target tracking algorithm
  • 10.Contour moment
  • 11.Polygon outline
  • 12.Discrete fourier transform algorithm
  • 13.Edge detection algorithm
  • 14.Face detection algorithm
  • 15.Optical flow detection algorithm
  • 16.Contour detection
  • 17.General contour detection
  • 18.Feature point tracking
  • 19.HLS color filtering
  • 20.Hough circle detection
  • 21.Hough linear detection
  • 22.HSV color filtering
  • 23.LK optical flow algorithm
  • 24.detection algorithm
  • 25.Phase dependent displacement detection
  • 26.Image pyramid sampling algorithm
  • 27.RGB color filtering
  • 28.Clear background detection algorithm
  • 29.Simplified optical flow algorithm
  • 30.Simple filter
  • 31.Threshold image processing
  • 32.Watershed segmentation algorithm
31. Jupyter Lab Usage Course
  • 1. Read the document before operation
  • 2. Jupyter lab environment construction tutorial
  • 3. Basic tutorial of Jupyter lab
  • 4. Jupyter widgets configuration tutorial
  • 5. Getting Started Tutorial for JupyterWidgets Controls
Download
  • APP(Android/iOS)
  • SystemFile_OrinNANOSUPER
  • SystemFile_OrinNXSUPER
  • SystemFile_NANO4GB_SUB
  • VM_File
  • Code
  • Instruction_Manual
  • Hardware_Info
  • 3D_Model_File
  • ROS2_Basic_VM
  • Tools
Download ZIP

Welcome to DOFBOT Pro repository

1. First Trial

Get started

1. Configure network and connect APP

  1. Please install the robotic arm correctly and ensure the wiring is correct according to the instruction manual. Then, open the power switch.
  2. Wait for about 1 minute and hear the buzzer beep three times, indicating that the system initialization is complete. At this time, the robotic arm will rotate to the initial posture.
  3. Check the OLED screen on the expansion board and read the IP address of the device in the [IPA] line.

img

  1. Open the WiFi settings on your phone, make your phone connect to the hotspot signal of the robotic arm. DOFBOT PRO hotspot name: DOFBOT-Pro password:12345678

 

  1. Open the [YahboomRobot] APP. For the first time, you need to select [ROS Robot] --> [DOFBOT Pro] device

img

  1. Click [IP Connect], then enter the IP address of the device, keep the others unchanged, and click [Connect]

img

  1. Click [Connect] again. If the connection is successful, it will automatically jump to the configuration interface.

img

  1. 【DOFBOT Calibration】: The center position of the robotic arm is very important. The deviation of the center position will directly affect the accuracy of all subsequent functions. Before using the robotic arm, we need to calibrate it, according to the following steps. Press the [Middle] button to check whether the robotic arm is vertically upward, left and right, and the gripper is closed. If it is the above state, please click the [Skip]; If not, click [Calibrate].

img

  1. After clicking [Calibrate], robotic arm will enter calibration state, carefully check whether the robotic arm is upright,whether the left and right return to the center is normal, and gripper should be manually pressed to the closed state. After the adjustment is completed, click [Ok]. When the indicator rings of all numbers turn from blue to green, it means that the setting is successful. Click [Next].

img

img

  1. 【Color Calibration】:Please place the red block to the position of the identification frame in the image, and ensure that the identification frame can completely cover the color block. Wait for the image to display the stable HSV value of current color in real time, and the video to display OK. Click [Color Calibration] to complete the calibration of the color. Then, calibrate the green, blue, and yellow block in the same way. If a color does not need to be calibrated, you can click [Skip]. Finally, click [Finish].

img

 

2. APP Control

The APP main interface is divided into eight area, each of which corresponds to different functions.

2.1 Remote Control

image-20240924182236409

Click [Remote control] icon on the main interface, the following interface will appear.

image-20240924184743669

The left side shows the camera screen. The upper right side shows a robotic arm model with numbers1 to 6, representing the six servos of the robotic arm. When it is displayed in red, it means that the servo with the current ID number is selected. Then, you can drag the slider below or press the buttons on the left and right sides to adjust the position of this servo.

【Angle】: After each click, APP will read the angle of the current servo and update it to the slider above.

【Middle】: Robotic arm stands upright.

【Stop】: After clicking this button, robotic arm turns off the torque, all servos no longer receives control commands. We can adjust manually the angles of all servos. Click this button again, robotic arm will turn on the torque, all servos will maintain their current positions, and can receive control commands.

2.2 Action Group

image-20240924182309859

Click [Action Group] icon on the main interface, and the following interface will appear.

image-20240924182741974

The left side is custom action group. The right side is fixed action group. In the middle, you can preview the action group screen, run the action group, and stop the action group. Click [Run] to run the current action group, and click [Stop] to stop the robot from running the action group.

【Custom action group】: Allows the robotic arm to learn and execute action groups. Click [Study mode], a dialog box will pop up, and RGB light on the expansion board will show a breathing light state.

image-20240924182814790

Click [Record X Action] button, the robotic arm will record the current posture as an action group, and the RGB light breathing light on the robot expansion board will change color, indicating that the action has been recorded. If you want to exit after recording multiple groups of actions,click [Completed], the breathing light on the expansion board will go out. Click [Run] button in the action group interface to run the action group just learned

If red breathing light appears, it means that the learning is wrong or the recorded action group is full (up to 20 groups of actions can be stored). Please click [Completed] button to exit

【Fixed action group】: Click different number buttons to know the function of the corresponding action group from the preview window. When you click [Run], the robotic arm will run the fixed action group.

2.3 Gesture interaction

image-20240924182326866

Click the [Gesture interaction] icon on the main interface, the following interface will appear.

image-20240924182850700

Gesture interaction includes two functions: gesture action and gesture action. After selecting the corresponding function, click [Switch], the function preview window will display the guidance operation. Click [Switch] again to turn off current function.

【Gesture action】: Can recognize gestures 1~5 and perform corresponding actions.

【Gesture stack】: Recognize gestures 1234, respectively grab the blue, green, red, and yellow building blocks and stack them in order. When gesture 5 is recognized, push all color blocks down and reset the recognition data.

2.4 Color Interaction

image-20240924182349748

Click [Color interaction] icon on the main interface, the following interface will appear.

image-20240924182916441

Color interaction includes three functions: Catch game, color capture, color interaction. After selecting the corresponding function, click [Switch] to start the function, click [Switch] button again to turn off current function.

【Catch game】: Place the block in the cross area on the map,robotic arm will automatically identify the color of the current block, then grab the block and put it in the area of the corresponding color.

【Catch game】: Place the block in front of the camera, robotic arm will honk after identifying the color of block. We need to put this block in the area of the corresponding color, robotic arm will grab the block from the corresponding color area and place it in the cross area on the map.

【Color interaction】:After selecting the color below, click [Switch], put the selected color block in front of the camera,robotic arm will imitate the movement of the snake. When it isled to the longest, open its gripper to clamp the block and put it down. When the block is infinitely close to it, robotic arm will shake.

Note: If you need to switch to different colors of blocks, you need to close the current function first and then open it again for it to take effect.

2.5 Tracking Game

Click [Tracking game] icon on the main interface, the following interface will appear.

image-20240924182945993

Tracking game includes three functions: Color tracking, custom color tracking, face tracking. After selecting the corresponding function, click [Switch] to start the function, click [Switch] button again to turn off current function.

【Color Tracking】: Select a color, click [Switch], then place the block of the corresponding color in front of the camera. When you move the block, robotic arm will move with this block.

【Custom color tracking】: After clicking [Custom color tracking]button, a box will be displayed on the camera image, and the color to be tracked will be placed in the box. After accurately picking the color, click [Switch], when the system completely detects the outline of the color, robotic arm will move with this block.

【Face Tracking】: Click [Face tracking] button, click [Switch],robotic arm will detect whether there is a face in the current camera image. If there is a face, it will mark and track the face movement.

2.6 Garbage Sorting

image-20240924182543015

Click [Garbage sorting] icon on the main interface, the following interface will appear.

image-20240924213705355

Click [Switch], the system will automatically load the model. After the red prompt [Model-Loading...] on the screen disappears, place the block with the garbage picture in the camera image. This function can identify the type of garbage on the current block. The camera collects information in the picture and displays the type of garbage on the APP. After continuous identification for 10 times, the garbage is sorted according to the garbage type to the corresponding garbage dumping area on the map.

2.7 Advanced Settings(Bate)

image-20240924182557998

Click [Advanced Settings(Beta)] icon on the main interface, the following interface will appear.

image-20240924183042549

Click [up, down, left, right] buttons to move the robotic arm,ensure the box appears completely in the field of view. Move the slider of threshold to adjust the border detection threshold until the four sides of the box completely detect the current color block, as shown above. Click [Ok] to enter the function interface.

[Sorting Game] interface, as shown below.

image-20240924183114734

【Color sorting】: Click [1], [2], [3], [4] button to change the color(black means unselected). Click [Color sorting], wait for the color to be correctly identified, then click [Switch] to sort and grab in the order of color selection.

【Garbage sorting】: Click [Garbage Sorting], wait for the system to load the model, and the red prompt [Model-Loading...] in the image disappears. Place the block with the garbage picture in the camera image, and the system will automatically identify the current garbage type. Click [Switch], robotic arm will start sorting the block into the corresponding categories.

 

2.8 Robot Arm Settings

image-20240924182641776

Click the [Robotic arm setting] icon on the main interface, the following interface will appear.

image-20240924183225117

The robotic arm settings include three functions: servo calibration, color calibration, restore default.

【Servo Calibration】:The center position of the robotic arm is very important. The deviation of the center position will directly affect the accuracy of all subsequent functions. Before using the robotic arm, we need to calibrate it, according to the following steps.

Press the [Middle] button to check whether the robotic arm is vertically upward, left and right, and the gripper is closed. If it is the above state, please click the [Skip]; If not, click [Calibrate].

image-20240924183515295

After clicking [Calibrate], robotic arm will enter calibration state, carefully check whether the robotic arm is upright,whether the left and right return to the center is normal, and gripper should be manually pressed to the closed state. After the adjustment is completed, click [Ok]. When the indicator rings of all numbers turn from blue to green, it means that the setting is successful. Click [Next].

image-20240924183418929

 

【Color Calibration】: Color calibration has two functions. The first is [Basic color calibration], which is the same as the guided configuration function. The second is [Advanced color calibration].

image-20240924183803413

【Basic color calibration】: Please place the red block to the position of the identification frame in the image, and ensure that the identification frame can completely cover the color block. Wait for the image to display the stable HSV value of current color in real time, and the video to display OK. Click [Color Calibration] to complete the calibration of the color. Then, calibrate the green, blue, and yellow block in the same way. If a color does not need to be calibrated, you can click [Skip]. Finally, click [Finish].

image-20240924210202450

【Advanced color calibration】: Place four color blocks on the camera image at the same time, select the color to be calibrated. Then, click [Display switch] button to view the black and white image, and adjust it through the HSV slider until no interfering color is detected. Click [Color calibration] to complete the calibration of current color block, and calibrate other color block in the same way.

Verification result: Change the position of the color block at will, and the color block can be accurately identified in the color image, click [Back]. For detailed introduction, please refer to the course [Visual basic course]-->[Color calibration].

image-20240924191356863

【Restore default】: Clear the configuration information of the APP. You will need to reconfigure the arm according to the instructions before it can be used again.

image-20240924210929611

Unboxing introduction video
Analysis of common problems

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