Bimbo, João Maria Marques dos SantosSucena, Diogo Fernandes2025-07-032025-07-0320252025http://hdl.handle.net/10400.5/101985Tese de mestrado, Engenharia Física, 2025, Universidade de Lisboa, Faculdade de CiênciasAutonomous navigation is becoming an increasingly relevant topic in industry due to the rise in autonomous cars and factory robots. Companies invest in complex sensor setups, like LiDARs, to achieve excellent autonomous navigation results. These setups can be costly, making them less affordable for educational purposes. In this dissertation an IDMind Magabot with five sonar sensors and a laptop camera are used to replace the LiDAR. This dissertation method offers an affordable setup that can be easily implemented in educational settings, providing students with a hands-on experience in autonomous navigation technologies. We can create a simple and affordable hazard detection and map-making setup using a laptop camera and sonar sensors. Sonar sensors measure distances, while the camera provides information about the robot’s relative position within its environment, enabling the creation of corridor maps. We tested this mapping method in the corridors of the C6 building, 3rd floor, at FCUL. We evaluated the shapes and distances of the maps created using this method. This method produced mixed results, while the distances on the map were good, with an error smaller than 5%, the shapes of the maps were not accurate with reality. Despite these results, this method can work in an educational setting with enough refining.engNavegação autónomaConfigurações de sensoresdeteção de perigoscriação de mapas viiTeses de mestrado - 2025master thesis