Autonomous rover capable of navigating through an environment autonomously (ROS, computer vision, control, Kalman filtering; MATLAB, Python)
- Path planning: Dijkstra's algorithm with an known map
- Localization: AprilTags, Estimation: Kalman Filter
- Control: PID
- Test on hardware
- Use machine learning for localization instead of AprilTags
- Add optimal control
- SLAM