Control of Collaborative Robot Systems and Flexible Production Cells on the Basis of Deep Learning

Abstract

A system for contact-free control of a robot system is based on a three-dimensional biomechanical model of the human skeleton for gesture recognition, by means of deep learning. Preliminary data analysis by calculating saliency maps permits more efficient classification of gestural commands and thus improves the performance of all control systems in the collaborative robot system.