Unibotics: open ROS-based online framework for practical learning of robotics in higher education

Abstract

Robotics provides an increasing number of solutions for real-life problems, from autonomous driving to automatic cleaning, inspection and logistics. The demand of robotics education to train future engineers is also growing, both in regular degrees at universities and also in massive open online courses (MOOCs). Beyond theory lectures, robotics education typically requires hands-on and practiced robot programming to be effective and let the student develop the desired skills. This paper presents Unibotics, an open online learning platform that allows editing and running robot programs from the browser, and provides more than 20 academic units on service robotics, autonomous driving, drones, and mobile robotics. It uses state-of-the art open source robot simulator (Gazebo) and robot middleware (ROS), and so it is extensible with new exercises. It is intended as a tool for practical learning in robotics engineering university courses. The platform has been used by 130 students from four different university degrees. Furthermore, it has been experimentally validated at the Universidad Rey Juan Carlos (URJC) Master Degree in Computer Vision with 22 students.