Lecture
This lecture covers the fundamentals of robot localization, focusing on positioning systems and odometry. Topics include indoor and outdoor positioning techniques, sensor fusion for localization, odometry using wheel encoders, and error modeling in 1D localization. The lecture also delves into the Kalman filter for sensor fusion and the importance of feature-based localization in reducing position uncertainty.