SLAM (Simultaneous Localization and Mapping) is the problem of estimating a robot's position in an unknown environment while building a map of that environment in real-time. The robot uses sensors (cameras, LiDAR, IMU) and algorithms to: 1. Estimate its own pose (position and orientation) relative to landmarks or previous frames.