FastSLAM

FastSLAM is an advanced algorithm used in robotics for simultaneous localization and mapping (SLAM). It helps a robot navigate and map its environment while keeping track of its position. By breaking the problem into smaller parts, FastSLAM uses particle filters to estimate the robot’s location and create a map of features around it. Each particle represents a possible position and map, allowing the robot to weigh different possibilities and choose the most likely scenario. This efficiency makes FastSLAM suitable for real-time applications in complex environments, enhancing a robot's ability to understand and interact with the world.