Semantic-based Method for Teaching Industrial Robots New Tasks

This paper presents the results of the Artificial Intelligence (AI) method developed during the European project “Factory-in-a-day”. Advanced AI solutions, as the one proposed, allow a natural Human–Robot-collaboration, which is an important\ua0capability of robots in industrial warehouses. This new generation of robots is expected to work in heterogeneous production\ua0lines by efficiently interacting and collaborating with human co-workers in open and unstructured dynamic environments.\ua0For this, robots need to understand and recognize the demonstrations from different operators. Therefore, a flexible and\ua0modular process to program industrial robots has been developed based on semantic representations. This novel learning by\ua0demonstration method enables non-expert operators to program new tasks on industrial robots