MentorPi 2024 Version

Note

Select the course version for the purchased kit. Choose 2024-Versions for the MentorPi A1 Starter Kit and Standard Kit, and Latest for the MentorPi A1 Advanced Kit and MentorPi M1.

MentorPi 2024 Version

• 1. Getting Ready
  • 1.1 MentorPi Introduction
  • 1.2 Packing List
  • 1.3 Charging & Usage Guide
  • 1.4 Robot Assembly & Wiring
  • 1.5 Get Started
  • 1.6 APP Control
• 2. Set Development Environment
  • 2.1 VNC Installation and Connection
  • 2.2 Robot Version Configuration Instruction
  • 2.3 System Introduction
  • 2.4 Docker Introduction & Usage
• 3. Motion Control Lesson
  • 3.1 Mecanum Wheel Chassis Motion Analysis
  • 3.2 Ackerman Chassis Motion Analysis
  • 3.3 IMU, Linear Velocity and Angular Velocity Calibration
  • 3.4 Publish IMU and Odometer Data
  • 3.5 Mecanum Wheel Chassis Speed Control
  • 3.6 Ackerman Chassis Speed Control
• 4. Lidar Lesson
  • 4.1 Lidar Introduction
  • 4.2 Lidar Working and Ranging Principle
  • 4.3 Lidar Obstacle Avoidance
  • 4.4 Lidar Following
  • 4.5 Lidar Guarding
• 5. Depth Camera Basic Lesson
  • 5.1 Test and Configure ROS2
  • 5.2 Depth Camera Configuration
  • 5.3 Install Depth Camera ROS SDK
  • 5.4 Usage of Depth Camera
  • 5.5 Data Type and Point Cloud
  • 5.6 Web Real-time Monitoring
• 6. Mapping Lesson
  • 6.1 Install WinSCP
  • 6.2 URDF Model
  • 6.3 ROS Robot URDF Model Instruction
  • 6.4 SLAM Mapping Principle
  • 6.5 slam_toolbox Mapping Algorithm
  • 6.6 RTAB-VSLAM 3D Mapping
• 7. Navigation Lesson
  • 7.1 ROS Robot Autonomous Navigation
  • 7.2 AMCL Adaptive Monte Carlo Positioning
  • 7.3 DWA Path Planning
  • 7.4 Point-to-Point and Multi-Point Navigation and Obstacle Avoidance
  • 7.5 RTAB-VSLAM 3D Navigation
• 8. ROS+OpenCV Lesson
  • 8.1 Install Depth Camera
  • 8.2 Color Threshold Adjustment
  • 8.3 Color Recognition
  • 8.4 Generate & Recognize QR Code
  • 8.5 Autonomous Line Following
  • 8.6 Color Tracking
• 9. MediaPipe Human-robot Interaction
  • 9.1 MediaPipe Introduction
  • 9.2 Fingertip Trajectory Recognition
  • 9.3 Hand following
  • 9.4 Posture Control
  • 9.5 Pose Detection
• 10. Machine Learning
  • 10.1 Machine Learning Introduction
  • 10.2 Machine Learning Library Introduction
  • 10.3 Yolov5 Introduction
  • 10.4 Yolov5 Model Training
• 11. Autonomous Driving Lesson
  • 11.1 Map Laying and Prop Installation
  • 11.2 Lane Keeping
  • 11.3 Road Sign Detection
  • 11.4 Traffic Light Recognition
  • 11.5 Turning Decision Making
  • 11.6 Autonomous Parking
  • 11.7 Integrated Application
• Appendix
• Download