JetAuto & JetAuto Pro (Orin Nano Version)

JetAuto & JetAuto Pro

• 1. Quick Start Guide(JetAuto User Manual)
  • 1.1 JetAuto Version Description
  • 1.2 Hardware Installation and Power-on Preparation
  • 1.3 First Power-on
  • 1.4 Charging Instructions and Battery Usage Guide
  • 1.5 APP Control
  • 1.6 Development Environment Setup and Configuration
  • 1.7 Wireless Handle Control
  • 1.8 Manual Mapping
  • 1.9 Autonomous Mapping
  • 1.10 Autonomous Navigation
  • 1.11 Hardware Introduction
  • 1.12 ROS Usage Introduction
  • 1.13 System Software Framework
  • 1.14 STM32 Source Code Instruction
  • 1.15 Flash Image
• 2. ROS2-Motion Control Courses
  • 2.1 Kinematics Analysis
  • 2.2 Motion Control
• 3. ROS2-Lidar Course
  • 3.1 Lidar Introduction
  • 3.2 Lidar Working and Ranging Principle
  • 3.3 Lidar Obstacle Avoidance
• 4. ROS2-Depth Camera Basic Course
  • 4.1 Depth Camera Configuration
  • 4.2 Construct Workspace
  • 4.3 Install Depth Camera ROS SDK
  • 4.4 Usage of Depth Camera
  • 4.5 Data Type and Point Cloud
• 5. ROS2-Mapping & Navigation Courses
  • 5.1 Mapping
  • 5.2 Navigation Tutorial
• 6. ROS2+OpenCV Course
  • 6.1 Color Threshold Adjustment
  • 6.2 Color Recognition
  • 6.3 Generate & Recognize QR Code
  • 6.4 Autonomous Line Following
• 7. ROS2+Machine Learning Courses
  • 7.1 Machine Learning Fundamentals
  • 7.2 Machine Learning Application
  • 7.3 MediaPipe Man-Robot Interaction
  • 7.4 Map and Props Setup
  • 7.5 Autonomous Driving
• 8. ROS2-Robot Arm Control Course
  • 8.1 Robotic Arm Basic Control
  • 8.2 Robot Arm Deviation Adjustment (Optional)
  • 8.3 Vision Application
• 9. ROS2-Voice Control Course
  • 9.1 Voice Control Basic Lesson
  • 9.2 Voice Interaction Application
• 10. ROS2-Movelt & Gazebo Simulation
  • 10.1 Virtual Machine Installation and Configuration
  • 10.2 Introduction to URDF Models
  • 10.3 MoveIt2 Simulation
  • 10.4 Gazebo Simulation
• 11. ROS2-Large AI Model Courses
  • 11.1 Large Models Basic Courses
  • 11.2 Deployments of Multimodal Large Model
  • 11.3 Embodied AI Applications
• Appendix
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