Simultaneous Localization and Mapping are needed. For localization and mapping, the SLAM algorithms use the basic problems of Chicken or Egg. The SLAM task includes mapping the environment and to detect the robot pose concerning the environment. If the map is not available, then the robot finds it hard to localize itself. The location is necessary to build the map, which will help it to find its location.

To explore a static and unknown environment by providing the robot’s controls and based on the observations of nearby features, by SLAM, you can estimate the features map, pose, or the path of the robot.

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