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A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing

Krüger, Volker LU ; Chazoule, Arnaud ; Crosby, Matthew ; Lasnier, Antoine ; Pedersen, Mikkel Rath ; Rovida, Francesco ; Nalpantidis, Lazaros ; Petrick, Ronald ; Toscano, Cesar and Veiga, Germano (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)
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author
; ; ; ; ; ; ; ; and
publishing date
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 Press
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
2020-12-29 03:24:11
@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},
  language     = {eng},
  number       = {5},
  pages        = {1114--1127},
  publisher    = {IEEE Press},
  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},
}