Controlling industrial robots with Simulink

Abstract

Implementing machine learning algorithms like reinforcement learning in robotics is a continuously changing topic due to continuous tool changes and updates to keep track of new algorithms and tools. This paper presents a new toolchain to implement such algorithms with open-source packages like ROS2 for industrial robots. We developed new tools and procedures to enable the implementation of reinforcement learning algorithms through simulation or controlling real robots with Matlab.