JetArm & JetArm Pro (Orin Nano Version)

Specification

  • 1. Getting Ready(JetArm User Manual)
    • 1.1 JetArm Version Description
    • 1.2 Hardware Installation and Guidelines
      • 1.2.1 Controller Installation (Applicable Only to Kits Without Jetson Controller)
      • 1.2.2 Wiring Instructions
      • 1.2.3 Microphone Installation
      • 1.2.4 Screen Installation
      • 1.2.5 Adapter Connection
    • 1.3 Initial Startup Instructions
      • 1.3.1 Important Notes
      • 1.3.2 Power-On Status Description
    • 1.4 App Control
      • 1.4.1 App Installation
      • 1.4.2 Connection Mode Introduction
      • 1.4.3 App Description
      • 1.4.4 Map Introduction and Device Placement
      • 1.4.5 Position Calibration
      • 1.4.6 Robot Control
      • 1.4.7 Object Sorting
      • 1.4.8 Gesture Control
      • 1.4.9 Target Tracking
      • 1.4.10 Intelligent Stacking
      • 1.4.11 Depth Object Sorting
      • 1.4.12 Waste Sorting
    • 1.5 Color Threshold Setting
      • 1.5.1 Color Threshold Adjustment via Mobile App
      • 1.5.2 Color Threshold Adjustment via ROS1 Robot Terminal
      • 1.5.3 Color Threshold Adjustment via ROS2 Robot Terminal
      • 1.5.4 LAB TOOL Interface Layout Instructions
      • 1.5.5 Color Threshold Adjustment
      • 1.5.6 Add a New Recognition Color
    • 1.6 Development Environment Setup and Configuration
      • 1.6.1 Remote Control tool Introduction and installation
      • 1.6.2 AP Direct Connection Mode
      • 1.6.3 LAN Mode Connection
      • 1.6.4 Restoring the Wi-Fi Options in the Menu Bar
      • 1.6.5 Access via USB cable Using the Fixed IP
      • 1.6.6 Introduction to the System Command Line Terminal
      • 1.6.7 Robot Version Configuration Tool Guide
      • 1.6.8 Remote Desktop Resolution Settings
    • 1.7 Wireless Handle Control
      • 1.7.1 Preparation
      • 1.7.2 Device Connection
      • 1.7.3 Control Mode Introduction
      • 1.7.4 Button Function
      • 1.7.5 Coordinate Mode
    • 1.8 Position Adjustment for Object Gripping and Placing
      • 1.8.1 Jetson Nano Controller Version
      • 1.8.2 Jetson Orin Nano/NX Controller Version
    • 1.9 Hardware Introduction
      • 1.9.1 Hardware System
      • 1.9.2 Electrical Control System Introduction
      • 1.9.2 STM32 Carrier Board
      • 1.9.3 Power Instruction
      • 1.9.4 ROS Controller
      • 1.9.5 Intelligent Bus Servo
      • 1.9.6 Vision Module
      • 1.9.7 Others
    • 1.10 System Software Architecture Overview
      • 1.10.1 Jetson Nano Controller
      • 1.10.2 Jetson Orin Nano & Jetson Orin NX Controllers
  • 2. ROS1-Robot Arm Basic Control User Manual
    • 2.1 Servo Control Node
      • 2.1.1 Introduction to Servo Control Node
      • 2.1.2 Servo Control Through Topic
      • 2.1.3 Initiate App Auto-Start Service
      • 2.1.4 Program Analysis
    • 2.2 LED Control Node
      • 2.2.1 Introduction to LED Control Node
      • 2.2.2 Control LED Through Topic
      • 2.2.3 Initiate App Auto-Start Service
      • 2.2.4 Program Analysis
    • 2.3 Buzzer Control Node
      • 2.3.1 Introduction to Buzzer Node
      • 2.3.2 Buzzer Control Through Topic
      • 2.3.3 Initiate App Auto-Start Service
      • 2.3.4 Program Analysis
    • 2.4 PC Software Control
      • 2.4.1 Introduction to PC Software Function
      • 2.4.2 Editing & Calling Action
      • 2.4.3 Integrate Action Groups
      • 2.4.4 Deviation Adjustment
    • 2.5 Use of Servo Debugging Tool
      • 2.5.1 Introduction to Servo Debugging Tool Interface
      • 2.5.2 Servo Debugging Instructions
  • 3. ROS1-Robot Arm Advanced Control Manual
    • 3.1 Homogeneous Coordinates Transformation
      • 3.1.1 Introduction to Homogeneous Coordinates
      • 3.1.2 Homogeneous Coordinates Function
      • 3.1.3 Transformation
    • 3.2 DH Modeling
      • 3.2.1 Introduction to DH Modeling
      • 3.2.2 JetArm DH Model
    • 3.3 Forward Kinematics Analysis
      • 3.3.1 Introduction to Inverse Kinematics
      • 3.3.2 JetArm Forward Kinematics Analysis
      • 3.3.3 Introduction to Forward Kinematics Service
      • 3.3.4 Servo Control Topic
    • 3.4 Inverse Kinematics Analysis
      • 3.4.1 Introduction
      • 3.4.2 Analysis
      • 3.4.3 JetArm Inverse Kinematics Analysis
      • 3.4.4 Introduction to Inverse Kinematics Service
      • 3.4.5 Servo Control Topic
  • 4. ROS1-ROS+OpenCV Course
    • 4.1 Positioning & Gripping
      • 4.1.1 Camera Calling
      • 4.1.2 Internal Parameter Calibration
      • 4.1.3 Color Space Conversion
      • 4.1.4 Pixel Coordinate Calculation
      • 4.1.5 Object Pose Calculation
      • 4.1.6 Perspective Transformation
      • 4.1.7 Coordinate System Conversion
      • 4.1.8 Trajectory Planning
      • 4.1.9 Position & Picking
      • 4.1.10 Color Sorting
      • 4.1.11 Change Default Recognition Color
    • 4.2 Target Tracking
      • 4.2.1 PID Principle
      • 4.2.2 Color Tracking
      • 4.2.3 Tag Tracking
      • 4.2.4 KCF Target Tracking
  • 5. ROS1-ROS+Deep Learning Basic Lesson
    • 5.1 Machine Learning Introduction
      • 5.1.1 What “Machine Learning” is
      • 5.1.2 Types of Machine Learning
    • 5.2 Framework Introduction
      • 5.2.1 Pytorch
      • 5.2.2 TensorFlow
      • 5.2.3 PaddlePaddle
      • 5.2.4 MXNet
    • 5.3 GPU Acceleration
      • 5.3.1 GPU Accelerated Computing
      • 5.3.2 Comparison between GPU and CPU
      • 5.3.3 Advantage of GPU
    • 5.4 TensorRT Acceleration
      • 5.4.1 TensorRT Introduction
      • 5.4.2 Optimization Methods
    • 5.5 Yolov5 Model
      • 5.5.1 Yolo Model Series Introduction
      • 5.5.2 YOLOv5 Model Structure
    • 5.6 YOLOv5 Running Procedure
      • 5.6.1 Prior Bounding Box
      • 5.6.2 Prediction Box
      • 5.6.3 Anchor Box
      • 5.6.4 Realization Process
    • 5.7 Object Detection Model Training
      • 5.7.1 Image Collecting
      • 5.7.2 Model Training
      • 5.7.3 Model Transformation
      • 5.7.4 Model Invoking
  • 6. ROS1-ROS+Deep Learning Application Lessons
    • 6.1 Robotic Arm Waste Sorting
      • 6.1.1 Realization Process
      • 6.1.2 Operations
      • 6.1.3 Game Outcome
      • 6.1.4 Launch File Analysis
      • 6.1.5 Python Source Code Analysis
    • 6.2 Mask Recognition
      • 6.2.1 Realization Process
      • 6.2.2 Operations
      • 6.2.3 Outcome
      • 6.2.4 Launch File Analysis
      • 6.2.5 Python Source Code Analysis
    • 6.3 MediaPipe Introduction
      • 6.3.1 Introduction
      • 6.3.2 Pros and Cons
      • 6.3.3 MediaPipe Usage Process
    • 6.4 3D Face Detection
      • 6.4.1 Realization Process
      • 6.4.2 Operations
      • 6.4.3 Performance
      • 6.4.4 Launch File Analysis
      • 6.4.5 Python Source Code Analysis
    • 6.5 Mediapipe Face Tracking
      • 6.5.1 Realization Process
      • 6.5.2 Operations
      • 6.5.3 Outcome
      • 6.5.4 Launch File Analysis
      • 6.5.5 Python Source Code Analysis
    • 6.6 Mediapipe Gesture Interaction
      • 6.6.1 Realization Process
      • 6.6.2 Operations
      • 6.6.3 Performance
      • 6.6.4 Launch File Analysis
      • 6.6.5 Python Source Code Analysis
    • 6.7 Mediapipe Fingertip Trajectory
      • 6.7.1 Realization Process
      • 6.7.2 Operations
      • 6.7.3 Outcome
      • 6.7.4 Launch File Analysis
      • 6.7.5 Python Source Code Analysis
    • 6.8 Mediapipe Human Pose Detection
      • 6.8.1 Realization Process
      • 6.8.2 Operations
      • 6.8.3 Outcome
      • 6.8.4 Launch File Analysis
      • 8.5 Python Source Code Analysis
  • 7. ROS1-Robot Arm URDF Modeling & Simulation
    • 7.1 URDF Model
      • 7.1.1 URDF Model Introduction
      • 7.1.2 URDF Model Visualization
      • 7.1.3 JetArm Model Introduction
    • 7.2 The Usage of MoveIt
      • 7.2.1 Introduction to MoveIt
      • 7.2.2 MoveIt Configuration
      • 7.2.3 MoveIt Operations
      • 7.2.4 Drive Real Robot Arm Using MoveIt
    • 7.3 Gazebo Simulation
      • 7.3.1 Gazebo Introduction
      • 7.3.2 JetArm Gazebo Simulation
    • 7.4 FAQ
  • 8. ROS1-Depth Camera Applications
    • 8.1 Depth Map Pseudo-Color Processing
      • 8.1.1 Program Flow
      • 8.1.2 Operation Steps
      • 8.1.3 Program Outcome
      • 8.1.4 Launch File Analysis
      • 8.1.5 Python Source Code Analysis
    • 8.2 Distance Ranging
      • 8.2.1 Program Flow
      • 8.2.2 Operation Steps
      • 8.2.3 Program Outcome
      • 8.2.4 Launch File Analysis
      • 8.2.5 Python Source Code Analysis
    • 8.3 Depth Map Conversion
      • 8.3.1 Program Flow
      • 8.3.2 Operation Steps
      • 8.3.3 Program Outcome
      • 8.3.4 Launch File Analysis
      • 8.3.5 Python Source Code Analysis
    • 8.4 Height Detection and Gripping
      • 8.4.1 Program Flow
      • 8.4.2 Operation Steps
      • 8.4.3 Program Outcome
      • 8.4.4 Launch File Analysis
      • 8.4.5 Python Source Code Analysis
    • 8.5 3D Space Gripping
      • 8.5.1 Program Flow
      • 8.5.2 Operation Steps
      • 8.5.3 Program Outcome
      • 8.5.4 Launch File Analysis
      • 8.5.5 Python Source Code Analysis
    • 8.6 3D Shape Sorting
      • 8.6.1 Program Flow
      • 8.6.2 Operation Steps
      • 8.6.3 Program Outcome
      • 8.6.4 Launch File Analysis
      • 8.6.5 Python Source Code Analysis
  • 9. ROS1-Voice Control Course
    • 9.1 Microphone Array Installation
    • 9.2 Switching Between Chinese and English Wake Words
    • 9.3 R818 Noise Reduction Board
      • 9.3.1 R818 Noise Reduction Board Introduction
      • 9.3.2 R818 Noise Reduction Board Specification
      • 9.3.3 R818 Noise Reduction Board Parameter Description
    • 9.4 6-Channel Ring Microphone Array Introduction
      • 9.4.1 Introduction to 6-Channel Microphone Array
      • 9.4.2 Ring 6-Channel Microphone Array Specification
      • 9.4.3 6-Channel Ring Microphone Array Parameter
    • 9.5 Wiring
    • 9.6 Virtual Machine Installation and Configuration
      • 9.6.1 Install VMware Workstation Software
      • 9.6.2 Import Virtual Machine
      • 9.6.3 Change Source
      • 9.6.4 Change Resolution
    • 9.7 Replace the Voice Resource Package and APPID
      • 9.7.1 Apply for offline voice resources and APPID
      • 9.7.2 Replace Offline Voice Resources and ID
      • 9.7.3 Change User Parameters
    • 9.8 Configure Microphone Port
    • 9.9 Wake Up the Microphone with a Command
      • 9.9.1 Activation Steps
      • 9.9.2 Change Wake-up Voice Command
      • 9.9.3 FAQ
    • 9.10 Voice Control Application
      • 9.10.1 Replace the Voice Resource Package and APPID
    • 9.11 Voice-Controlled Color Sorting
      • 9.11.1 Preparation
      • 9.11.2 Program Flow
      • 9.11.3 Operation Steps
      • 9.11.4 Program Outcome
      • 9.11.5 launch File Analysis
      • 9.11.6 Python Source Code Analysis
    • 9.12 Voice Controlled Color Tracking
      • 9.12.1 Preparation
      • 9.12.2 Program Flow
      • 9.12.3 Operation Steps
      • 9.12.4 Program Outcome
      • 9.12.5 Launch File Analysis
      • 9.12.6 Python Source Code Analysis
  • 10. ROS1-Robot Arm + Sliding Rail Course
    • 10.1 Sliding Rail Installation
    • 10.2 Position Calibration
    • 10.3 Wireless Handle Control
      • 10.3.1 Preparation
      • 10.3.2 Device Connection
      • 10.3.3 Introduction to Control Modes
      • 10.3.4 Remote Control Button Instructions
    • 10.4 Waste Sorting
      • 10.4.1 Program Logic
      • 10.4.2 Start and Close the Game
      • 10.4.3 Program Outcome
      • 10.4.4 Package Structure and Program Analysis
      • 10.4.5 Function Extension
    • 10.5 Tag Sorting
      • 10.5.1 Program Logic
      • 10.5.2 Start and Close the Game
      • 10.5.3 Program Outcome
      • 10.5.4 Package Structure and Program Analysis
      • 10.5.5 Function Extension
  • 11. ROS2-Robot Arm Basic Control User Manual
    • 11.1 Servo Control Node
      • 11.1.1 Introduction to Servo Control Node
      • 11.1.2 Servo Control Through Topic
      • 11.1.3 Initiate App Auto-Start Service
      • 11.1.4 Program Analysis
    • 11.2 LED Control Node
      • 11.2.1 Introduction to LED Control Node
      • 11.2.2 Control LED Through Topic
      • 11.2.3 Initiate App Auto-Start Service
      • 11.2.4 Program Analysis
    • 11.3 Buzzer Control Node
      • 11.3.1 Introduction to Buzzer Node
      • 11.3.2 Buzzer Control Through Topic
      • 11.3.3 Initiate App Auto-Start Service
      • 11.3.4 Program Analysis
    • 11.4 PC Software Control
      • 11.4.1 Introduction to PC Software Function
      • 11.4.2 Editing & Calling Action
      • 11.4.3 Integrate Action Groups
      • 11.4.4 Deviation Adjustment
    • 11.5 Use of Servo Debugging Tool
      • 11.5.1 Introduction to Servo Debugging Tool Interface
      • 11.5.2 Servo Debugging Instructions
  • 12. ROS2-Robot Arm Advanced Control Manual
    • 12.1 Homogeneous Coordinates Transformation
      • 12.1.1 Introduction to Homogeneous Coordinates
      • 12.1.2 Homogeneous Coordinates Function
      • 12.1.3 Transformation
    • 12.2 DH Modeling
      • 12.2.1 Introduction to DH Modeling
      • 12.2.2 JetArm DH Model
    • 12.3 Forward Kinematics Analysis
      • 12.3.1 Introduction to Inverse Kinematics
      • 12.3.2 JetArm Forward Kinematics Analysis
      • 12.3.3 Introduction to Forward Kinematics Service
      • 12.3.4 Servo Control Topic
    • 12.4 Inverse Kinematics Analysis
      • 12.4.1 Introduction
      • 12.4.2 Analysis
      • 12.4.3 JetArm Inverse Kinematics Analysis
      • 12.4.4 Introduction to Inverse Kinematics Service
      • 12.4.5 Servo Control Topic
  • 13. ROS2-OpenCV Vision Course
    • 13.1 Positioning & Gripping
      • 13.1.1 Camera Calling
      • 13.1.2 Internal Parameter Calibration
      • 13.1.3 Color Space Conversion
      • 13.1.4 Pixel Coordinate Calculation
      • 13.1.5 Object Pose Calculation
      • 13.1.6 Perspective Transformation
      • 13.1.7 Coordinate System Conversion
      • 13.1.8 Trajectory Planning
      • 13.1.9 Position & Picking
      • 13.1.10 Color Sorting
      • 13.1.11 Change Default Recognition Color
    • 13.2 Target Tracking
      • 13.2.1 PID Principle
      • 13.2.2 Color Tracking
      • 13.2.3 Tag Tracking
      • 13.2.4 KCF Target Tracking
  • 14. ROS2-ROS+Deep Learning Basic Lesson
    • 14.1 Machine Learning Introduction
      • 14.1.1 What “Machine Learning” is
      • 14.1.2 Types of Machine Learning
    • 14.2 Framework Introduction
      • 14.2.1 Pytorch
      • 14.2.2 TensorFlow
      • 14.2.3 PaddlePaddle
      • 14.2.4 MXNet
    • 14.3 GPU Acceleration
      • 14.3.1 GPU Accelerated Computing
      • 14.3.2 Comparison between GPU and CPU
      • 14.3.3 Advantage of GPU
    • 14.4 TensorRT Acceleration
      • 14.4.1 TensorRT Introduction
      • 14.4.2 Optimization Methods
    • 14.5 YOLOv8 Model
      • 14.14.1 Yolo Model Series Introduction
      • 14.14.2 YOLOv8 Model Structure
    • 14.6 YOLOv8 Running Procedure
      • 14.6.1 Prior Bounding Box
      • 14.6.2 Prediction Box
      • 14.6.3 Anchor Box
      • 14.6.4 Realization Process
  • 15. Ros2-Deep Learning Application Course
    • 15.1 Deep Learning Application Course
      • 15.1.1 Robotic Arm Waste Sorting
      • 15.1.2 MediaPipe Introduction
      • 15.1.3 3D Face Detection
      • 15.1.4 Mediapipe Face Tracking
      • 15.1.5 Mediapipe Gesture Interaction
      • 15.1.6 Mediapipe Fingertip Trajectory
      • 15.1.7 Mediapipe Human Pose Detection
    • 15.2 Target Detection Model Training
      • 15.2.1 Model Training
      • 15.2.2 Convert PT File to Engine File
      • 15.2.3 Model Validation
    • 15.3 Training a Custom Object Detection Model
      • 15.3.1 Image Collection
      • 15.3.2 Image Annotation
      • 15.3.3 Converting the Dataset Format
      • 15.3.4 Training the Model
      • 15.3.5 Exporting and Using the Engine Model
  • 16. ROS2-URDF Modeling Simulation
    • 16.1 Virtual Machine Installation and Import
      • 16.1.1 Virtual Machine Software Installation
      • 16.1.2 Virtual System Image Import
      • 16.1.3 Virtual Machine Settings
    • 16.2 Configuration
      • 16.2.1 Package Import (Performed on Virtual Machine)
      • 16.2.2 Network Configuration (Performed in Robot System Desktop)
      • 16.2.3 Device ID Configuration (To Be Performed on the Virtual Machine)
    • 16.3 URDF Model
      • 16.3.1 URDF Model Introduction
      • 16.3.2 Comparison between Xacro and URDF Model
      • 16.3.3 Install URDF Dependency
      • 16.3.4 URDF Model Basic Syntax
    • 16.4 ROS Robot URDF Model Instructions
      • 16.4.1 Preparation
      • 16.4.2 Viewing the Robot Model Code
      • 16.4.3 Brief Analysis of the Robot’s Main Model
    • 16.5 MoveIt2 Simulation
      • 16.5.1 MoveIt2 Kinematics Design
      • 16.5.2 MoveIt2 Configuration
      • 16.5.3 MoveIt2 Control
      • 16.5.4 MoveIt2 Random Movement
      • 16.5.5 MoveIt2 Cartesian Path
      • 16.5.6 MoveIt2 Collision Detection
      • 16.5.7 MoveIt2 Scene Design
      • 16.5.8 MoveIt2 Trajectory Planning
      • 16.5.9 Simulation and Robotic Arm Synchronization
    • 16.6 Gazebo Simulation
      • 16.6.1 Introduction to Gazebo
      • 16.6.2 Gazebo GUI Introduction
      • 16.6.3 Gazebo xacro Model Visualization
      • 16.6.4 Gazebo and MoveIt2 Simulation Integration
  • 17. ROS2-Robot Arm Depth Camera Application
    • 17.1 Depth Map Pseudo-Color Processing
      • 17.1.1 Program Flow
      • 17.1.2 Operation Steps
      • 17.1.3 Program Outcome
      • 17.1.4 Launch File Analysis
      • 17.1.5 Python Source Code Analysis
    • 17.2 Distance Ranging
      • 17.2.1 Program Flow
      • 17.2.2 Operation Steps
      • 17.2.3 Program Outcome
      • 17.2.4 Launch File Analysis
      • 17.2.5 Python Source Code Analysis
    • 17.3 Depth Map Conversion
      • 17.3.1 Program Flow
      • 17.3.2 Operation Steps
      • 17.3.3 Program Outcome
      • 17.3.4 Launch File Analysis
      • 17.3.5 Python Source Code Analysis
    • 17.4 Height Detection and Gripping
      • 17.4.1 Program Flow
      • 17.4.2 Operation Steps
      • 17.4.3 Program Outcome
      • 17.4.4 Launch File Analysis
      • 17.4.5 Python Source Code Analysis
    • 17.5 3D Space Gripping
      • 17.5.1 Program Flow
      • 17.5.2 Operation Steps
      • 17.5.3 Program Outcome
      • 17.5.4 Launch File Analysis
      • 17.5.5 Python Source Code Analysis
    • 17.6 3D Shape Sorting
      • 17.6.1 Program Flow
      • 17.6.2 Operation Steps
      • 17.6.3 Program Outcome
      • 17.6.4 Launch File Analysis
      • 17.6.5 Python Source Code Analysis
  • 18. ROS2-Voice Control Course
    • 18.1 Microphone Array Installation
    • 18.2 Switching Between Chinese and English Wake Words
    • 18.3 Voice Control Basic Lesson
      • 18.3.1 R818 Noise Reduction Board
      • 18.3.2 Wiring
      • 18.3.3 Virtual Machine Installation and Configuration
      • 18.3.4 6-Channel Microphone Array Configuration
      • 18.3.5 Set Wake-Up Command
      • 18.3.6 Sound Source Localization and Speech Recognition
      • 18.3.7 Sound Card Introduction
    • 18.4 Voice Control Application
      • 18.4.1 Preparation
      • 18.4.2 Voice-Controlled Color Sorting
      • 18.4.3 Voice Controlled Color Tracking
  • 19. ROS2-AI Large Model Courses
    • 19.1 Large Models Basic Courses
      • 19.1.1 Large Language Model Courses
      • 19.1.2 Large Speech Model Courses
      • 19.1.3 Vision Language Model Courses
      • 19.1.4 Multimodal Model Basic Courses
    • 19.2 Multimodal Model Courses
      • 19.2.1 Multimodal Model: Voice Control
      • 19.2.2 Multimodal Model: Color Sorting
      • 19.2.3 Multimodal Model: Waste Classification
      • 19.2.4 Multimodal Model: Object Sorting
    • 19.3 Embodied AI Applications
      • 19.3.1 Overview of Multimodal Information Fusion
      • 19.3.2 Embodied AI Applications in Real-Time Detection
      • 19.3.3 Embodied AI Applications in Vision Tracking
      • 19.3.4 Embodied AI Applications in Intelligent Transport
      • 19.3.5 Embodied AI Applications in Smart Home Assistant
    • 19.4 Offline Large Model Applications
      • 19.4.1 Voice Device Setting
      • 19.4.2 Offline Large Model Application: Voice Control
        • 19.4.2.1 Program Introduction
        • 19.4.2.2 Preparation
        • 19.4.2.3 Operation Steps
        • 19.4.2.4 Program Outcome
        • 19.4.2.5 Program Analysis
      • 19.4.3 Offline Large Model Application: Color Block Sorting
        • 19.4.3.1 Program Introduction
        • 19.4.3.2 Preparation
        • 19.4.3.3 Operation Steps
        • 19.4.3.4 Program Outcome
        • 19.4.3.5 Program Analysis
  • 20. JetArm and Sliding Rail Integration Course
    • 20.1 Sliding Rail Installation
    • 20.2 Selecting the Robot Type
    • 20.3 Position Calibration
    • 20.4 Wireless Controller
      • 20.4.1 Getting Started
      • 20.4.2 Device Connection
      • 20.4.3 Control Modes
    • 20.5 Color Sorting
      • 20.5.1 Working Principle
      • 20.5.2 Enabling and Disabling the Feature
      • 20.5.3 Project Outcome
      • 20.5.4 Functional Package Structure and Program Analysis
    • 20.6 Waste Classification
      • 20.6.1 Working Principle
      • 20.6.2 Enabling and Disabling the Feature
      • 20.6.3 Project Outcome
      • 20.6.4 Functional Package Structure and Program Analysis
    • 20.7 Tag Sorting
      • 20.7.1 Working Principle
      • 20.7.2 Enabling and Disabling the Feature
      • 20.7.3 Project Outcome
      • 20.7.4 Functional Package Structure and Program Analysis
  • 21. JetArm and Chassis Integration Course
    • 21.1 JetArm and Mecanum Chassis Integration Course
      • 21.1.1 Getting Started
      • 21.1.2 Selecting the Robot Type
      • 21.1.3 APP Control
      • 21.1.4 Wireless Handle Control
      • 21.1.5 Target Tracking
      • 21.1.6 Line Following
    • 21.2 JetArm and Tank Chassis Integration Course
      • 21.2.1 Getting Started
      • 21.2.2 Selecting the Robot Type
      • 21.2.3 APP Control
      • 21.2.4 Wireless Handle Control
      • 21.2.5 Target Tracking
      • 21.2.6 Line Following
  • 22. JetArm and Electrical Conveyor Belt Integration Course
    • 22.1 Conveyor Belt Installation
    • 22.2 Selecting the Robot Type
    • 22.3 Wireless Handle Control
      • 22.3.1 Getting Started
      • 22.3.2 Device Connection
      • 22.3.3 Control Modes
    • 22.4 Color Sorting
      • 22.4.1 Project Process
      • 22.4.2 Enabling the Feature
      • 22.4.3 Action Performed
      • 22.4.4 Launch File Analysis
      • 22.4.5 Python Source Code Analysis
      • 22.4.6 Adjusting the Gripping Offset

Download

  • Remote Control Tools
  • Image Burning Tool
  • Firmware Download Tool
  • PuTTY (SSH Client)
  • Virtual Machine Installation Pack
  • Voice Environment Setup Tool
  • WonderAi Android App
  • WonderAi iOS App
  • JetArm Download
  • JetArm Pro Download
JetArm & JetArm Pro (Orin Nano Version)
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