Erdős, Ferenc Gábor and Abai, Kristóf and Beregi, Richárd József and Csempesz, János and Cserteg, Tamás and Godó, Gábor and Hajós, Mátyás and Háy, Borbála and Horváth, Dániel and Horváth, Gergely and Juniki, Ádám and Kemény, Zsolt and Kovács, András and Nacsa, János and Paniti, Imre and Pedone, Gianfranco and Takács, Emma and Tipary, Bence and Zahorán, L and Váncza, József (2024) Enabling Technologies for Autonomous Robotic Systems in Manufacturing. Transactions of Nanjing University of Aeronautics and Astronautics, 41 (4). pp. 403-431. ISSN 1005-1120 10.16356/j.1005-1120.2024.04.001

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Abstract

Research of autonomous manufacturing systems is motivated both by the new technical possibilities of cyber-physical systems and by the practical needs of the industry. Autonomous operation in semi-structured industrial environments can now be supported by advanced sensor technologies， digital twins， artificial intelligence and novel communication techniques. These enable real-time monitoring of production processes， situation recognition and prediction， automated and adaptive （re）planning， teamwork and performance improvement by learning. This paper summarizes the main requirements towards autonomous industrial robotics and suggests a generic workflow for realizing such systems. Application case studies will be presented from recent practice at HUN-REN SZTAKI in a broad range of domains such as assembly， welding， grinding， picking and placing， and machining. The various solutions have in common that they use a generic digital twin concept as their core. After making general recommendations for realizing autonomous robotic solutions in the industry， open issues for future research will be discussed. © 2024 Nanjing University of Aeronautics an Astronautics. All rights reserved.

Item Type:	Article
Uncontrolled Keywords:	Robot learning; Robot programming; Industrial robots; Autonomy; Autonomy; Robotic assembly; Industrial environments; Cyber-physical systems; Enabling technologies; Autonomous operations; digital twin; Enabling technology; industrial robotics; industrial robotics; Semi-structured; Cybe-physical systems; advanced sensor technologies; Autonomous robotic systems;
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Research Laboratory on Engineering & Management Intelligence
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	20 Dec 2024 08:41
Last Modified:	20 Dec 2024 08:41
URI:	https://eprints.sztaki.hu/id/eprint/10841

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