Map the Unknown
SLAM, occupancy grids, localization, and loop closure.
Why Mapping Matters
Understand why robots need maps, explore different types of maps, and learn the difference between mapping and navigation with pre-existing maps.
Occupancy Grid Mapping
Learn how robots represent space as grids, update cell probabilities using sensor data, and use log-odds representation for efficient probabilistic mapping.
Localization Basics
Discover how robots figure out their position on a known map using particle filters and Monte Carlo localization to handle uncertainty.
SLAM Explained
Understand the chicken-and-egg problem of simultaneous localization and mapping, explore graph-based and feature-based SLAM approaches, and see how modern algorithms solve this fundamental robotics challenge.
Loop Closure
Learn how recognizing previously visited places corrects accumulated drift, enables global map consistency, and transforms SLAM from a short-term to a long-term solution.