MentorPi T1

MentorPi T1

• 1.Getting Ready
  • 1.1 Introduction to MentorPi T1
  • 1.2 Packing List
  • 1.3 Battery Charging & Safety Guidelines
  • 1.4 Robot Assembly & Wiring
  • 1.5 Startup Guide & Status Overview
  • 1.6 App Control
• 2. Remote Tool Installation and Container Access
  • 2.1 VNC Installation and Connection
  • 2.2 Robot Version Configuration Instruction
  • 2.3 System Introduction
  • 2.4 Docker Introduction & Usage
  • 2.5 MentorPi Servo Deviation Adjustment
• 3. Motion Control Courses
  • 3.1 Motion Analysis of Tank Chassis
  • 3.2 IMU, Linear Velocity and Angular Velocity Calibration
  • 3.3 Publish IMU and Odometer Data
  • 3.4 Tank Chassis Speed Control
• 4. Lidar Lesson
  • 4.1 Introduction to Lidar
  • 4.2 Lidar Working and Ranging Principle
  • 4.3 Lidar Obstacle Avoidance
  • 4.4 Lidar Following
  • 4.5 Lidar Guarding
• 5. Depth Camera Basics Course
• 6. Mapping Courses
  • 6.1 URDF Model Introduction
  • 6.2 ROS Robot URDF Model Instruction
  • 6.3 SLAM Mapping Principle
  • 6.4 slam_toolbox Mapping Algorithm
  • 6.5 RTAB-VSLAM 3D Mapping
  • 6.6 Install WinSCP
• 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
  • 8.7 Chassis 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
• 12. Master Slave And Group Control
  • 12.1 Master-Slave and Environment Variable Configuration
  • 12.2 Group Control
• 13. Robot Network Configuration
  • 13.1 Network Configuration Overview
  • 13.2 AP Direct Connection Mode
  • 13.3 Connecting in LAN Mode (optional)
• 14. Large AI Model Course
  • 14.1 Voice Module Overview and Installation
  • 14.2 Large Models Basic Courses
  • 14.3 Multimodal Large Model Applications
  • 14.4 Embodied AI Applications
• Appendix
• Download