A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing
(2016) In Proceedings of the IEEE 104(5). p.1114-1127- Abstract
- Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber-physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber-physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the... (More)
- Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber-physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber-physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the available description of the environment-the world model-suffers from large uncertainties. Thus, the robot becomes an integral part of the MES, resulting in a highly flexible overall system. (Less)
- Abstract (Swedish)
- Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber–physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber–physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the... (More)
- Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber–physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber–physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the available description of the environment—the world model—suffers from large uncertainties. Thus, the robot becomes an integral part of the MES, resulting in a highly flexible overall system. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2bce28f0-e399-46fe-9464-55130622d02d
- author
- Krüger, Volker LU ; Chazoule, Arnaud ; Crosby, Matthew ; Lasnier, Antoine ; Pedersen, Mikkel Rath ; Rovida, Francesco ; Nalpantidis, Lazaros ; Petrick, Ronald ; Toscano, Cesar and Veiga, Germano
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Autonomous systems, cognitive robotics, manufacturing execution system (MES), planning, robot skills, world model
- in
- Proceedings of the IEEE
- volume
- 104
- issue
- 5
- pages
- 14 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:84979469582
- ISSN
- 0018-9219
- DOI
- 10.1109/JPROC.2016.2521731
- language
- English
- LU publication?
- no
- id
- 2bce28f0-e399-46fe-9464-55130622d02d
- date added to LUP
- 2019-05-16 21:26:56
- date last changed
- 2023-04-09 12:02:36
@article{2bce28f0-e399-46fe-9464-55130622d02d, abstract = {{Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber-physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber-physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the available description of the environment-the world model-suffers from large uncertainties. Thus, the robot becomes an integral part of the MES, resulting in a highly flexible overall system.}}, author = {{Krüger, Volker and Chazoule, Arnaud and Crosby, Matthew and Lasnier, Antoine and Pedersen, Mikkel Rath and Rovida, Francesco and Nalpantidis, Lazaros and Petrick, Ronald and Toscano, Cesar and Veiga, Germano}}, issn = {{0018-9219}}, keywords = {{Autonomous systems; cognitive robotics; manufacturing execution system (MES); planning; robot skills; world model}}, language = {{eng}}, number = {{5}}, pages = {{1114--1127}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{Proceedings of the IEEE}}, title = {{A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing}}, url = {{http://dx.doi.org/10.1109/JPROC.2016.2521731}}, doi = {{10.1109/JPROC.2016.2521731}}, volume = {{104}}, year = {{2016}}, }