An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process
This paper investigates the feasibility of using an agent-based framework to configure, control and coordinate dynamic, real-time robotic operations with the use of ontology manufacturing principles. Production automation agents use ontology models that represent the knowledge in a manufacturing env...
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doaj-7a8efdb779464c9c80a963eb8e0cf63c2020-11-25T03:23:11ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942020-09-014959510.3390/jmmp4030095An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding ProcessSotiris Makris0Kosmas Alexopoulos1George Michalos2Andreas Sardelis3Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Patras, GreeceLaboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Patras, GreeceLaboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Patras, GreeceLaboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Patras, GreeceThis paper investigates the feasibility of using an agent-based framework to configure, control and coordinate dynamic, real-time robotic operations with the use of ontology manufacturing principles. Production automation agents use ontology models that represent the knowledge in a manufacturing environment for control and configuration purposes. The ontological representation of the production environment is discussed. Using this framework, the manufacturing resources are capable of autonomously embedding themselves into the existing manufacturing enterprise with minimal human intervention, while, at the same time, the coordination of manufacturing operations is achieved without extensive human involvement. The specific framework was implemented, tested and validated in a feasibility study upon a laboratory robotic assembly cell with typical industrial components, using real data derived from a car-floor welding process.https://www.mdpi.com/2504-4494/4/3/95autonomous manufacturing systemsagent-based systemsontology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sotiris Makris Kosmas Alexopoulos George Michalos Andreas Sardelis |
spellingShingle |
Sotiris Makris Kosmas Alexopoulos George Michalos Andreas Sardelis An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process Journal of Manufacturing and Materials Processing autonomous manufacturing systems agent-based systems ontology |
author_facet |
Sotiris Makris Kosmas Alexopoulos George Michalos Andreas Sardelis |
author_sort |
Sotiris Makris |
title |
An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process |
title_short |
An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process |
title_full |
An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process |
title_fullStr |
An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process |
title_full_unstemmed |
An Agent-Based System for Automated Configuration and Coordination of Robotic Operations in Real Time—A Case Study on a Car Floor Welding Process |
title_sort |
agent-based system for automated configuration and coordination of robotic operations in real time—a case study on a car floor welding process |
publisher |
MDPI AG |
series |
Journal of Manufacturing and Materials Processing |
issn |
2504-4494 |
publishDate |
2020-09-01 |
description |
This paper investigates the feasibility of using an agent-based framework to configure, control and coordinate dynamic, real-time robotic operations with the use of ontology manufacturing principles. Production automation agents use ontology models that represent the knowledge in a manufacturing environment for control and configuration purposes. The ontological representation of the production environment is discussed. Using this framework, the manufacturing resources are capable of autonomously embedding themselves into the existing manufacturing enterprise with minimal human intervention, while, at the same time, the coordination of manufacturing operations is achieved without extensive human involvement. The specific framework was implemented, tested and validated in a feasibility study upon a laboratory robotic assembly cell with typical industrial components, using real data derived from a car-floor welding process. |
topic |
autonomous manufacturing systems agent-based systems ontology |
url |
https://www.mdpi.com/2504-4494/4/3/95 |
work_keys_str_mv |
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