The thesis presents the operation and use of algorithms for simultaneous localization and mapping by using the algorithms gmapping, hector mapping and cartographer. Using the robot TurtleBot2, which consists of a moving base, a computer, a camera and operates on the basis of the robot operating system (ROS), we build a two-dimensional map of the workspace. In the thesis we present the theory of the robot operating system, needed to understand the given task and the operation of the listed algorithms. We show the preparation needed for the application of the algorithms in practice. After the mapping we measured the workspace and checked the accuracy of the gmapping algorithm. Lastly, a comparison of the algorithms was made in a simulated environment with pre-recorded data, which showed the advantage of using hector mapping and cartographer algorithms, because of the speed at which they map. It also displayed the advantage of using LIDAR over a depth camera for mapping, because the mapping process is less complicated.
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