SLAM (Simultaneous Localization and Mapping) empowers machines to explore and understand their surroundings autonomously.SLAM combines the tasks of mapping and localization, allowing robots to operate in dynamic and unfamiliar spaces.Localization involves determining the robot's position and orientation, while mapping identifies and records landmarks in the environment.Real-world applications of SLAM include self-driving cars, AR apps, robotic vacuums, navigation in large spaces, and autonomous drones.