Enhancing Human Cobot Interaction using Natural Language Processing

Abstract

This paper presents a unique approach to enhance Human-Cobot Interaction using Natural Language Processing. We integrate the CoboVox voice recognition system into the UR3e cobot interface, enabling voice-activated engagement with collaborative robots. Our methodology includes vocabulary building, language processing model analysis, and practical implementation, empowering non-expert robot operators to efficiently program and control cobots through voice commands. This innovation holds potential benefits for Industry 4.0 by promoting responsible implementation and improved human-robot collaboration.