Localization Mapping and SLAM — Ch.04: 2D SLAM [EN]

Chapter 04 covers 2D SLAM fundamentals, allowing robots to build maps while estimating their position. Chapter 23 presents a debugging workflow that traces raw sensor data to localization failures, focusing on root‑cause analysis. Chapter 24 describes industrial warehouse SLAM projects, emphasizing reliable navigation amid dynamic obstacles. Chapter 25 explores AI‑based SLAM, integrating machine learning for perception and map understanding. Chapter 22 outlines performance metrics, and Chapter 21 introduces digital twins as real‑time virtual replicas linked to physical systems.