Navigation and control system of mobile robot using ros

Abstract

Mobile robots have become one of the most used technologies recently, due to its efficiency, accuracy and speed of executing orders. This work aims to build a mobile robot with two wheels and the application of simultaneous localization and mapping algorithms, such as Hector SLAM and G-mapping to construct maps of unknown environments. In addition, the project is based on using sensors such as camera, Lidar, and the JETSON NANO card for data acquisition and processing. Experimental tests include implementing Hector SLAM algorithms, controlling the robot via a keyboard, and performing autonomous navigation and collision avoidance using a camera and deep learning techniques. The objective is to develop a versatile mobile robot capable of mapping and autonomous operation.