Aktiviteter pr. år
Projektdetaljer
Beskrivelse
In the smart factory, all machines, robots and systems are connected and can talk and interact with each other. The digital technologies tie all business processes together in the organization and create a production that is constantly adapting to new demands from customers, suppliers and the outside world.
In MADE Digital work package 5, Smart Factories, we work on how digital technologies can be applied in Danish companies to create smarter production.
Specifically, in WP5.3, the research work is concerned with developing adaptive learning algorithms enabling robots to adapt to variations in input, continuously perform corrections during processing and adjust processes based on the quality of the produced output.
In MADE Digital work package 5, Smart Factories, we work on how digital technologies can be applied in Danish companies to create smarter production.
Specifically, in WP5.3, the research work is concerned with developing adaptive learning algorithms enabling robots to adapt to variations in input, continuously perform corrections during processing and adjust processes based on the quality of the produced output.
Lægmandssprog
Our research is focus on introducing self-learning capabilities in smart factories to optimize industrial processes in food manufacturing.
Kort titel | MADE Digital WP5.3 |
---|---|
Status | Afsluttet |
Effektiv start/slut dato | 01/03/2017 → 31/12/2019 |
Samarbejdspartnere
- Danish Meat Research Institute (DMRI) (Projektpartner)
- Danish Crown (Projektpartner)
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Aktiviteter
- 1 Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende
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Special Session on Deep Learning As a Mean for Enabling Self-Learning and Self-Optimizing Capabilities in Real-World Industrial Applications
Bøgh, S. (Arrangør), Arana-Arexolaleiba, N. (Arrangør) & Chrysostomou, D. (Arrangør)
14 jan. 2020Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende
Publikation
- 3 Konferenceartikel i proceeding
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Transferring Human Manipulation Knowledge to Robots with Inverse Reinforcement Learning
Hansen, E. B., Andersen, R. E., Madsen, S. & Bøgh, S., 2020, Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020. IEEE (Institute of Electrical and Electronics Engineers), s. 933-937 5 s. 9025873. (Proceedings of the 2020 IEEE/SICE International Symposium on System Integration).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Fil6 Citationer (Scopus)192 Downloads (Pure) -
Self-learning Processes in Smart Factories: Deep Reinforcement Learning for Process Control of Robot Brine Injection
Andersen, R. E., Madsen, S., Barlo, A. B. K., Blegebrønd Johansen, S., Nør, M., Andersen, R. S. & Bøgh, S., 2019, 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. Elsevier, Bind 38. s. 171-177 7 s. (Procedia Manufacturing).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgangFil17 Citationer (Scopus)177 Downloads (Pure) -
Transferring Human Manipulation Knowledge to Industrial Robots Using Reinforcement Learning
Arexolaleiba, N. A., Anguiozar, N. U., Chrysostomou, D. & Bøgh, S., 2019, 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. Elsevier, Bind 38. s. 1508 - 1515 8 s. (Procedia Manufacturing, Bind 38).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgangFil11 Citationer (Scopus)165 Downloads (Pure)