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A Beginner’s Guide to SLAM: The Foundation of Autonomous Robotics and AR

  • 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.

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