JetAcker (Orin Nano Version)

JetAcker (Orin Nano Version)

• 1. Getting Ready
  • 1.1 JetAcker Version Description
  • 1.2 Hardware Installation and Power-on Preparation
  • 1.3 Charging Instructions and Battery Usage Guide
  • 1.4 First Power-on
  • 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. Motion Control Course
  • 2.1 Kinematics Analysis
  • 2.2 Motion Control
• 3. Lidar Course
  • 3.1 Introduction to Lidar
  • 3.2 Lidar Working and Ranging Principle
  • 3.3 Lidar Obstacle Avoidance
  • 3.4 Lidar Following
• 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. Mapping & Navigation Course
  • 5.1 Mapping
  • 5.2 Navigation
• 6. ROS+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. Voice Control Course
  • 8.1 Six-Microphone Circular Array Installation
  • 8.2 Voice Control Basic Lesson
  • 8.3 6-Channel Microphone Array Configuration (Must Read)
  • 8.4 Voice-Controlled Car Movement
  • 8.5 Voice-Controlled Color Recognition
  • 8.6 Voice-Controlled Color Tracking
  • 8.7 Voice-Controlled Multi-Point Navigation
• 9. ROS2-Movelt & Gazebo Simulation
  • 9.1 Virtual Machine Installation and Configuration
  • 9.2 Introduction to URDF Models
  • 9.3 Gazebo Simulation
• 10. ROS2-AI Large Model Courses
  • 10.1 Large Models Basic Courses
  • 10.2 Deployments of Multimodal Large Model
  • 10.3 Embodied AI Applications
• Appendix
• Download