The goal of this work is to project and build a small autonomous robot that is capable of moving around several locations in the Pontifical Catholic University following some visual landmarks that should work as checkpoints to be found by the robot and that should tell the robot the next move that should be performed. The motors, sensors, electronic speed controllers and controllers are selected in such a way that the robot will be able to complete it s mission and keep the costs as small as possible. Also, a neural network model will be trained to detect those landmarks and a computational algorithm will be written to determine actions taken by the robot. The robot is tested by having it traverse a set of paths in several places of the university and checking how much it deviates from the proposed path.