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3rd International Conference on Artificial Intelligence, Machine Learning and Big Data

Copenhagen, Denmark

Abir GALLALA

University of Luxembourg, Luxembourg

Title: Augmented-Reality-based digital twin approach for robot manipulation
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Biography

Biography: Abir GALLALA

Abstract

In recent years, robotics research has been facing a significant growing. Industrial and research interests are moving from the development of robots for structured industrial environments to the development of collaborative and autonomous robots operating in hybrid environments. The biggest drawback of the introduction of these cobots (collaborative robots) is that they are not user friendly. The fourth industrial revolution has allowed the introduction of new technologies that enhance the humanrobot interaction such as Augmented Reality (AR). In this poster, we suggest our approach which is an Augmented Reality-based digital twin approach for an easy and user-friendly Human-Robot interaction. The presented system is a marker-based system that allows users to program collaborative robots. This model aims to manioulate a virtual model of the cobot using an AR head-mounted device