Welcome to the Path Tracking Experiment section! This guide explores how robots navigate and follow predefined paths using sensors, algorithms, and control systems.
🧠 Experiment Objectives
- Understand core concepts of path tracking (e.g., PID control, localization)
- Test sensor integration (LiDAR, cameras, encoders)
- Implement algorithms like A* or Dijkstra for obstacle avoidance
- Optimize real-time decision-making for dynamic environments
🛠️ Key Components
- Sensors: For environmental mapping and position detection
- Control Systems: To adjust robot movement based on feedback
- Path Planning Algorithms: To generate efficient routes
🧪 Step-by-Step Process
- Map the Environment using LiDAR or camera data
- Set Path Goals via a user interface or predefined coordinates
- Deploy PID Control to maintain trajectory accuracy
- Simulate scenarios with obstacles (e.g.,
/en/simulations/robotics/obstacle-course) - Analyze Performance and refine parameters