GraphSLAM

GraphSLAM is a method used in robotics to help a robot understand its environment and determine its own position. It represents the robot's environment and its movements as a graph, where nodes are locations or measurements, and edges are relationships or movements between them. By analyzing these connections, GraphSLAM optimizes the overall map and the robot's path, even when sensor data is imperfect. This approach allows the robot to build accurate maps in real-time, facilitating navigation and exploration in unfamiliar or complex spaces.