Autonomous mobile robots are a topic of interest that has gained strength in recent years, technological advances in the development of sensors for environmental perception, computing capacity and access to information have promoted robotics in different fields, where many applications require performance in complex conditions such as uncontrolled and dynamic environments, for which the implementation of algorithms for control tasks such as navigation and mapping are required. From the academy, research processes are promoted from which important advances in mobile robotics have been achieved, consequently, didactic platforms for experimentation with autonomous robots are essential. Although there are commercial systems, they are generally expensive, as well, many related works focus on the results and offer little information on the processes and tools used to obtain them, this makes rapid prototyping and replication of experiments difficult. which is of great value in a process of investigation and learning.This work presents the design and construction of an open-source and low-cost system for research and learning of autonomous robotics in a practical way, so the main contribution of this proposal is the generation of a system consisting of hardware, software, and related documentation to facilitate prototyping in mobile robotics. As a result, the cost of the platform is around US$200, as validation examples of the use of control of a mobile robot in differential model configuration using wheel odometry and more complex tasks such as the generation of 3D maps and estimation of trajectories and robot pose using a V-SLAM algorithm such as ORBSLAM3; likewise the system has been evaluated in mobile robotics classes in university environment with positive acceptance by students where the importance of having Open Source systems is evidenced.