Integration Of Robotics Simulation Programs Into Educational Process In Kuban State University

Abstract

The article describes the practical experience of using the Robocode computer simulator and models in Matlab Simulink Simmechanics in the study of artificial intelligence and robotics systems at the Kuban State University. In this paper, the problem of teaching students of higher educational institutions of robotics with the application of the project-based learning and using the simulation environment is considered. These environments allow, at the initial stage of training, students to replace expensive experiments with real hardware. The actual task when teaching such disciplines is the selection of practical tasks and used software that should help students to learn about non-trivial models and algorithms of artificial intelligence, to awaken interest in discipline and at the same time to be accessible in terms of the complexity of mastering for students. Creating a model of a physical system, taking into account not ideal sensors and actuators, allows you to immerse yourself in the creation of real systems, taking into account the key features of the functioning of robots. The application of different models of behavior on the same robot model makes it possible to identify the strengths and weaknesses of both physical modeling and the AI algorithm. Since 2013 students of two faculties of Kuban State University have been studying programming for RoboCode and Mathlab Simulink.