ROSPug

ROSPug

• 1. Getting Ready
  • 1.1 Introduction to ROSPug
  • 1.2 Packing List
  • 1.3 Startup Preparation
  • 1.4 Initial Startup
• 2. Quick User Experience
  • 2.1 App Installation & Connection
  • 2.2 App Control
  • 2.3 Wireless Handle Control
• 3. Remote Connection Tool Installation & Connection
  • 3.1 Preparation
  • 3.2 Access under AP Direct Connection/ STA LAN Mode
  • 3.3 Method To Fix Abnormal Resolution
• 4. Motion Control Course
  • 4.1 Coordinates System Establishing
  • 4.2 Inverse Kinematics Analysis
  • 4.3 Gait Parameter Introduction
  • 4.4 Trot Gait Analysis and Implementation
  • 4.5 Amble Gait Analysis and Implementation
  • 4.6 Walk Gait Analysis and Implementation
  • 4.7 Stepping in Place under Trot Gait
  • 4.8 Turning under Trot Gait
  • 4.9 Explanation of Pose (Static) Parameters
  • 4.10 Robot Horizontal Movement
  • 4.11 Omnidirectional Movement
  • 4.12 Speed Adjustment
  • 4.13 Height Adjustment
  • 4.14 Center of Gravity Adjustment
  • 4.15 Twisting
  • 4.16 IMU Calibration
  • 4.17 ROS Robot Pose Detection
  • 4.18 ROS Robot Pose Self-Balancing
  • 4.19 Wireless Handle Control
• 5. Action Editing Course
  • 5.1 Introduction to PC Software
  • 5.2 Action Editing
  • 5.3 Import And Export Action
  • 5.4 APP Custom Control
• 6. Simulation Course
  • 6.1 URDF Model Introduction
  • 6.2 ROSPug URDF Model Introduction
  • 6.3 Gazebo Introduction
  • 6.4 Gazebo Simulation & Motion Planning
• 7. ROS+OpenCV Vision Projects
  • 7.1 Color Threshold Adjustment
  • 7.2 Color Recognition
  • 7.3 Color Localization & Tracking
  • 7.4 KCF Target Tracking
  • 7.5 Autonomous Line Following
  • 7.6 Autonomous Ball Shooting
• 8. Lidar Course
  • 8.1 Lidar Introduction
  • 8.2 Lidar Ranging Principle
  • 8.3 Lidar Obstacle Avoidance
  • 8.4 Lidar Following
  • 8.5 Lidar Guarding
  • 8.6 Introduction to Odometry and Implementing Odometry with Lidar
• 9. SLAM Mapping & Autonomous Navigation Course
  • 9.1 SLAM Mapping Working Principle
  • 9.2 Gmapping Mapping
  • 9.3 AMCL Adaptive Monte Carlo Positioning
  • 9.4 ROS Robot Autonomous Navigation
  • 9.5 TEB & DWA Path Planning
  • 9.6 Lidar Multi-Point Navigation & Obstacle Avoidance
  • 9.7 App Mapping & Navigation
• 10. ROS + Deep Learning Course
  • 10.1 Introduction to Machine Learning
  • 10.2 MediaPipe Recognition & Detection
  • 10.3 Fingertip & Pose Control
  • 10.4 Introduction to Yolov5 Model Structure and Working Procedure
  • 10.5 Yolov5 Model Training
  • 10.6 GPU and TensorRT Acceleration
  • 10.7 Target Detection Using TensorRT
• Appendix
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