Graph-Based SLAM (Simultaneous Localization and Mapping)

Graph-Based SLAM is a method used by robots or autonomous vehicles to map an unknown environment while knowing their location within it. It represents the environment as a graph, where nodes are positions or landmarks, and edges are the relationships between them, such as distances or angles. The system collects data through sensors and adjusts the entire graph to find the most accurate map and position simultaneously. This approach optimizes the overall consistency of the map and the robot’s path, making navigation more reliable even in complex or uncertain environments.