Stuck struggling with Duckietown's autonomous navigation? Unlock mastery and accelerate your robotics career with our comprehensive course.
- Master autonomous driving algorithms and implement them in Duckietown.
- Design robust navigation systems that handle real-world challenges, like traffic and obstacles.
- Debug and optimize your Duckiebot's performance for maximum efficiency.
- Gain a competitive edge in the rapidly growing robotics industry.
- Build a portfolio of projects showcasing your Duckietown expertise.
- Module 1-10: Duckietown Fundamentals: Grasp the core concepts of the Duckietown environment, learn about Duckiebots, and set up your development environment for seamless experimentation.
- Module 11-20: Sensor Fusion: Fuse data from multiple sensors (camera, LiDAR, IMU) to create a comprehensive perception of the Duckietown environment. You'll learn Kalman filtering and other sensor fusion techniques.
- Module 21-30: Localization: Implement various localization techniques, including SLAM, to accurately determine your Duckiebot's position within the Duckietown map, and explore techniques for dealing with noisy sensor data.
- Module 31-40: Path Planning: Learn algorithms for planning optimal paths for your Duckiebot, considering factors like obstacles, traffic rules, and energy efficiency. Implement A*, Dijkstra's, and other path planning methods.
- Module 41-50: Motion Control: Develop control strategies to smoothly and accurately execute planned paths, while handling variations in the Duckiebot's dynamics and environmental conditions, like PID control and model predictive control.
- Module 51-60: Computer Vision for Robotics: Apply computer vision techniques to detect lane markings, traffic signs, and other objects relevant to autonomous navigation in the Duckietown environment. Use OpenCV to detect and track objects.
- Module 61-70: Traffic Management: Design and implement strategies for managing traffic flow in Duckietown, ensuring safe and efficient navigation for multiple Duckiebots, and learn about coordination and communication protocols.
- Module 71-80: Advanced Topics & Deployment: Explore advanced topics in autonomous navigation, such as reinforcement learning for adaptive control and real-world deployment challenges, including handling sensor noise and calibration.