Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1109/JPROC.2016.2521731 | Proceedings of the IEEE |
Keywords | DocType | Volume |
automobile industry,cyber-physical systems,industrial robots,manufacturing systems,sensors,IT infrastructures,MES,STAMINA project,automotive industry,cognitive cyber-physical system,cognitive robots,cyber-physical integration,large-scale cyber-physical entity,manufacturing execution system,manufacturing tasks,sensory information,uncertainty management,vertical integration,Autonomous systems,cognitive robotics,manufacturing execution system (MES),planning,robot skills,world model | Journal | 104 |
Issue | ISSN | Citations |
5 | 0018-9219 | 9 |
PageRank | References | Authors |
0.72 | 1 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Volker Krüger | 1 | 1312 | 69.60 |
Arnaud Chazoule | 2 | 9 | 0.72 |
Matthew Crosby | 3 | 9 | 0.72 |
Antoine Lasnier | 4 | 9 | 0.72 |
Mikkel Rath Pedersen | 5 | 22 | 3.09 |
francesco rovida | 6 | 12 | 2.80 |
lazaros nalpantidis | 7 | 198 | 17.32 |
Ronald P. A. Petrick | 8 | 309 | 24.24 |
Cesar Toscano | 9 | 24 | 5.53 |
Germano Veiga | 10 | 42 | 11.98 |