The purpose of this undergraduate thesis is to implement the autonomous exploration of space on the Turtlebot mobile platform that uses the ROS development environment. We implemented an exploration algorithm based on the detection and use of frontier regions as potential exploration goals. Since the algorithm is able to choose an exploration goal based on the combination of different assessments, we tested and compared which combination of goal assessments enables the most efficient exploration of a given space. We assessed and compared different strategies of goal setting on the basis of four criteria and a referential strategy which selects its exploration goals randomly. In order to get the data necessary for comparison, we conducted ten successful explorations per strategy and compared them on the basis of the referential strategy and criteria. We implemented our own module, which tracks the amount of space explored and the time spent for exploration, while also documenting the path traveled by the Turtlebot during exploration.