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DOFBOT-JetsonNANO📖
00.Must Read Before Use!!
  • 00.Must Read Before Use!!
01.First Trial
  • 1.First Trial
  • 2.Analysis of common problems
  • 3.Calibration offset
  • 4.Precautions for DIY Robotic Arm
  • 5.Jetson Nano Version – Must Read
  • 6.Robotic arm gripping anomaly solutions
02.Assemble Course
  • 1.Installation video
  • 2.Calibrate the Robotic Arm
  • 3.Install the map
03.Remote control course
  • 1.Mobile APP control
  • 2.USB handle control
  • 3.PC web page programming
04.Preparation
  • 1.Manage APP control service
  • 2.Manage JupyterLab service
  • 3.Manage OLED service
  • 4.Modifying ROS_DOMAIN_ID for Multi-Machine
  • 5.Jetpack old system upgraded to SUPER system
05.Basic control course
  • 1.Control RGB light
  • 2.Control buzzer
  • 3.Control single servo
  • 4.Read servo angle
  • 5.Control all servo
  • 6.DOFBOT up down left right
  • 7.DOFBOT dancing
  • 8.DOFBOT memory action
  • 9.DOFBOT grab block
  • 10.Porter
  • 11.Stacked Arhat
  • 12.Synchronous action
  • 13.USB camera display
06.AI vision basic course
  • 1.Gesture Recognition
  • 2.Color threshold adjustment&Color calibration
  • 3.Color recognition
  • 4.Face recognition
  • 5.YOLOv11 garbage recognition
  • 6.YOLOv11 object recognition
07.2D Visual Tracking Course
  • 1.PID algorithm basics
  • 2.Color block positioning
  • 3.Color block tracking
  • 4.Face positioning
  • 5.Face tracking
  • 6.Gesture recognition fixed action
08.2D Visual Grasping Course
  • 1.Gesture recognition stack blocks
  • 2.Color recognition grab blocks
  • 3.Catch game
  • 4.Color sorting and stacking
  • 5.Garbage sorting
  • 6.Color interaction
09.Mediapipe course
  • 1.Hand detection
  • 02.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.Robotic arm tracks the palm
  • 15.Fingertip trajectory recognition
  • 16.Fingertip trajectory control robotic arm
  • 17.Gesture Grasp and Release Objects
  • 18.Finger Control Robot Arm
10.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
11.2D Voice Control Coursenew
  • 01.Simple Voice Control
  • 02.Smart Voice Control
  • 03.Voice Action Control
  • 04.Memory Learning Mode
  • 05.Color Recognition with Voice Broadcast
  • 06.Color Recognition and Grasping with Voice Broadcast
  • 07.Color Recognition and Sorting with Voice Broadcast
  • 08.Voice Recognition Target Tracking
  • 09.Voice Control Stacking
  • 10.Voice Control Color Sorting and Stacking
  • 11.Garbage Recognition with Voice Broadcast
  • 12.Garbage Sorting with Voice Broadcast
12.Robotic Arm Control and Inverse Kinematics
  • 1. Robotic arm ROS control
  • 2. Inverse solution
13.3D Sorting and Grasping Coursenew
  • 1.AprilTag ID sorting
  • 2.MediaPipe Gesture-AprilTag ID sorting
  • 3.MediaPipe Gesture-AprilTag distance sorting
  • 4.Block color sorting
  • 5.Block different shape sorting
  • 6.Yolov11 garbage sorting
14.3D Tracking Coursenew
  • 1.AprilTag Tracking
  • 2.Color Block Tracking
  • 3.KCF Object Tracking
15.3D Voice Control for Sorting & Tracking Coursenew
  • 1.Voice Control AprilTag ID Sorting
  • 2.Voice Control Color Block Sorting
  • 3.Voice Control Yolov11 Garbage Recognition Sorting
  • 4.Voice Control AprilTag Tracking
  • 5.Voice Control Color Block Tracking
  • 6.Voice Control Object Tracking
16.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
17.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
18.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
19.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
20.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
21.MoveIt2 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
22.YOLOv11 Development Course
  • 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.Capacity expansion and resource allocation
  • 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.GPIO Hardware Control Course
  • 1.GPIO description
  • 2.GPIO library installation
  • 3.GPIO reading
  • 4.GPIO output
  • 5.Serial communication
  • 6.I2C communication
25.OpenCV course
  • 0. Must Read!
  • 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
26.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
27. Advanced Visuals Course
  • 0. Must Read! Porting and Compilation
  • 1. QR Code
  • 2. Human Pose Estimation
  • 3. Object Detection
  • 4. AR Vision
  • 5. ROS + OpenCV Basics
28.Jupyter Lab Usage Course
  • 0.Read the document before operation
  • 1.Jupyter Lab environment construction
  • 2.Basic use of Jupyter Lab
  • 3.Jupyter Lab plug-in installation
  • 4.Basic use of Jupyter Widgets
29.Docker Course
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4.Docker hardware interaction and data processing
  • 5.Start the Dofbot container
30.Python Programming Basics
  • 1.Python usage
  • 2.Use APT to install Python packages
  • 3.Python virtual environment
  • 4.GPIO Zero
  • 5.Pin output high and low levels
  • 6.Pin reads high and low levels
  • 7.Pin output PWM
Download
  • APP(iOS/Android)
  • Code
  • SystemFile
  • VM File
  • PC software
  • Instruction manual
  • Jetson_Boot_USB.tar.gz
  • More Annex
  • Tools
Download ZIP
FAQ
  • 1、Precautions for DIY Robotic Arm
  • 2、Why i can't robotic arm start normally
  • 3、When you control the No.1 servo, all servos will turn.
  • 4、How open VNC service on DOFBOT system
  • 5、Where can I get the URDF file?
  • 6、Gesture recognition cannot work normally.
  • 7、Write system image into U disk
  • 8、Write EMMC boot file

Welcome to DOFBOT-JetsonNANO repository

5.Jetpack old system upgraded to SUPER system

Jetpack old system upgraded to SUPER system

Jetpack old system upgraded to SUPER system1、ReadMe2、Write SUPER boot file2.1、Connect hardware2.2、Connect VM software2.3、Write SUPER boot file3、Write Yahboom robot system file into SSD3.1、Format SSD3.1.1、Download DiskGenius3.1.2、Use DiskGeniusDelete partitionCreate a new partition3.2、Write Yahboom robot car system file3.2.1、Install Win32DiskImager3.2.2、Use Win32DiskImager4、SSD expansion4.1、Install GParted4.2、Use GParted4.3. Adjust partitions

1、ReadMe

This tutorial applies only to upgradeable Jetson Orin configurations; users with Jetson Nano or Raspberry Pi versions should skip this tutorial.

This tutorial is primarily intended for the following customers:

  1. Users who purchased a Jetson Orin Nano/NX prior to March 31, 2025.

2、Write SUPER boot file

The purpose of this tutorial is to write SUPER boot to the Jetson Orin series board (for use with Jetpack 6.2 system).

The process of writing the boot file does not require the install SSD.

2.1、Connect hardware

1.Use a jumper cap to short-circuit the FC REC and GND pins under the core board. You don't need to remove the core board, the picture is just for a clearer observation

This diagram takes Jetson Orin Nano official version as an example, and users of other versions can refer to it for use (the hardware interface and functional layout are consistent)

2.The Jetson Orin board needs to be connected to a DC power adapter, DP data cable, and network cable. And connect it to the computer via a Type C data cable

Note: You don't need to connect the DP data cable and network cable when writing the boot, but they will be needed when using the motherboard later.

image-20250121195352195

2.2、Connect VM software

Users need to use the virtual machine file provided by Yahboom to write the SUPER boot file.

We need to connect the motherboard to the virtual machine so that it can be recognized by the Ubuntu system.

User name:yahboom
Password:yahboom

image-20250122104659911

image-20250122104757404

2.3、Write SUPER boot file

Open the terminal, enter the specified folder and run the script.

If writing fails, you can disconnect the motherboard power supply, reconnect the virtual machine to run the command, and try again

xxxxxxxxxx
cd ~/jetpack_6.2/Linux_for_Tegra && sudo ./yahboom_flash.sh.x

image-20250122104832985

image-20250122105606210

3、Write Yahboom robot system file into SSD

This tutorial allows you to write the system image file of the robot car SUPER (Jetpack6.2) provided by Yahboom to the SSD

Note: Users need to prepare the M.2 SSD Enclosure in advance, install the SSD into the M.2 SSD Enclosure, connect it to the computer, format it and write the new system image file.

3.1、Format SSD

Before writing the Yahboom robot car system image file, you need to format the solid-state drive into exFAT format.

3.1.1、Download DiskGenius

Download link:https://www.diskgenius.com/

image-20250110201003552

Unzip the downloaded compressed file and open DiskGenius.exe to use.

image-20250110201121200

3.1.2、Use DiskGenius

Delete partition

Deleting a partition will clear the disk data. Please confirm that the drive letter is the disk that needs to be formatted before confirming the operation.

You can judge based on the disk size and the newly added drive letter of the connected disk.

image-20250110201331658

image-20250110201403408

image-20250110201419269

image-20250110201432707

Create a new partition

Partition the SSD into exFAT format.

Select the drive letter corresponding to the SSD and click Quick Partition。

image-20250110201722505

Partition options: You can check as shown below

image-20250110201833715

image-20250110201833715

3.2、Write Yahboom robot car system file

You need to download the image system file in the tutorials in advance and decompress it to get the .img file. Download the system and decompress it locally.

3.2.1、Install Win32DiskImager

Download link:https://sourceforge.net/projects/win32diskimager/

image-20250110222239328

Open the win32diskimager-1.0.0-install.exe installation package as an administrator and accept the agreement.

image-20250110222209318

Installation location: Default location is recommended.

image-20250110222141639

Click " Install"

image-20250110222109847

image-20250110222041855

Click " Install"

image-20250110222017810

Complete the installation.

image-20250110221950093

3.2.2、Use Win32DiskImager

①: Select the factory image file (*.img) in the data

②: Select the drive letter corresponding to the SSD

③: Write the Yahboom system image to the SSD

image-20250110202003280

Click "Yes"

image-20250110202018758

wait it

image-20250110202439181

image-20250110203047627

After the system is written, you can close this software.

And install the SSD to the Jetson Orin board.

4、SSD expansion

This tutorial can be used to allocate the unallocated space of the solid state drive.

4.1、Install GParted

xxxxxxxxxx
sudo apt update
sudo apt install gparted -y

image-20250110203835949

4.2、Use GParted

Find the GParted application icon in the system application menu bar to open it or enter the following command in the terminal to start it.

xxxxxxxxxx
gparted

image-20250110203949546

4.3. Adjust partitions

Right-click the disk partition that needs to be expanded: generally select the largest partition on the disk

image-20250110203959602

You can adjust the partition size by sliding the slider to the right to maximize the space.

image-20250110204022401

Confirm the partition adjustment operation.

image-20250110204116310

image-20250110204133498

image-20250110204146422

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After the partitioning is completed, close the GParted software.

Modifying ROS_DOMAIN_ID for Multi-Machine
Control RGB light

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