Example Concept: SLAM combines sensor data (e.g., from LIDAR, cameras, or sonar) with motion data to create a map of the environment and estimate the robot's position within that map. This process involves data association, loop closure detection, and map optimization to ensure accurate and consistent navigation. SLAM is crucial for tasks such as autonomous exploration, search and rescue, and delivery robots operating in dynamic or previously unmapped areas.