Towards remote control of manufacturing machines through robot vision sensors
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nadège Troussier
Author: Halawi Ghoson, Nourhan (1); Hakam, Nisar (1); Shakeri, Zohreh (1); Meyrueis, Vincent (1); Loubère, Stéphane (2); Benfriha, Khaled (1)
Series: ICED
Institution: 1: Arts et métiers - science et technologie; 2: PwC | Strategy&
Section: Design Methods
Page(s): 3601-3610
DOI number: https://doi.org/10.1017/pds.2023.361
ISBN: -
ISSN: -
Abstract
The remote management of equipment is part of the functionalities granted by the design principles of Industry 4.0. However, some critical operations are managed by operators, machine setup and initialization serve as a significant illustration. Since the initialization is a repetitive task, industrial robots with a smart vision system can undertake these duties, enhancing the autonomy and flexibility of the manufacturing process. The smart vision system is considered essential for the implementation of several characteristics of Industry 4.0. This paper introduces a novel solution for controlling manufacturing machines using an embedded camera on the robot. This implementation requires the development of an interactive interface, designed in accordance with the supervision system known as Manufacturing Execution System. The framework is implemented inside a manufacturing cell, demonstrating a quick response time and an improvement between the cameras.
Keywords: Design engineering, Design for Additive Manufacturing (DfAM), Design process, Industrial robots, Smart vision sensors