This project aims to assist visually impaired people through the design and construction of an autonomous robot that functions as a guide in controlled environments, such as indoor spaces or predefined pathways. The proposed solution integrates navigation, perception, and computer vision technologies, using carefully selected components that are both cost-effective and efficient, without compromising quality or the fulfillment of the established objectives. The system is built around the RPLidar A1 laser scanning sensor and a Jetson Nano computer, which support a Simultaneous Localization and Mapping (SLAM) system implemented through the Robot Operating System (ROS). This allows the robot to generate a map of its environment, localize itself within it, and navigate safely. In addition, an artificial vision system was integrated using a Kinect V2 camera for human detection, enhancing interaction with the user. Path planning and obstacle avoidance algorithms were implemented, along with haptic and auditory feedback systems that provide continuous information to the user about their surroundings. To validate system performance, two types of tests were conducted: functionality tests, which assess the robot’s behavior in various scenarios, and usability tests, which measure the user’s understanding and comfort when interacting with the device. This initiative seeks to provide an accessible, functional, and replicable technological tool that promotes the social inclusion of visually impaired people.