Projekter pr. år
Personlig profil
Forskningsprofil
Research
- Robotics
- Artificial Intelligence
- Machine Learning
- Deep Reinforcement Learning
My current research is primarily studying Deep Reinforcement Learning for industrial robotics and industrial processes, where the robot or agent, through its own trial and error, learns to optimize its own behaviour or process. The learning process can take its outset in the agent exploring the environment, but furthermore from human expert demonstrations (apprenticeship learning, inverse reinforcement learning).
Ekspertise relateret til FN’s Verdensmål
I 2015 blev FN's medlemslande enige om 17 Verdensmål til at bekæmpe fattigdom, beskytte planeten og sikre velstand for alle. Denne persons arbejde bidrager til følgende verdensmål:
Emneord
- Industri og Produktion
- Kunstig Intelligens (AI)
- Reinforcement Learning
- Maskinlæring
- Selvlærende Systemer
- Kollaborative Robotter
- Industri 4.0
- Internet of Things
- Predictive Analytics
- Datalogi
- Kunstig Intelligens
- Maskinlæring
- Robotteknologi
- Deep Learning
- Reinforcement Learning
- Predictive Analytics
Fingerprint
- 1 Lignende profiler
Netværk
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chARmER: Assistive Robotic Disassembly System for Recycling
Hjorth, S., Chrysostomou, D., Bøgh, S., Madsen, O. & Arexolaleiba, N. A.
01/02/2020 → 01/02/2023
Projekter: Projekt › Forskning
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Industrial Integration and Exploitation of Mobile Robotics; Development of the Future Production Assistant - The Mobile Robot "Little Helper"
Bøgh, S., Hvilshøj, M., Madsen, O. & Kristiansen, M.
19/05/2010 → …
Projekter: Projekt › Forskning
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Robotics Research Excellence - Bridging Danish and U.S. Robotics Research
Bøgh, S., Chrysostomou, D., Schou, C. & LI, C.
01/01/2020 → 31/12/2021
Projekter: Projekt › Forskning
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Reinforcement Learning Baseret Styring til Gulvvarme Systemer
01/01/2019 → 31/12/2021
Projekter: Projekt › Forskning
Publikationer
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A New Authentic Cloud Dataset from a Production Facility for Anomaly Detection
Hansen, E. B., Bijl, E. R. V. D., Nielsen, M. B., Bodilsen, M. S., Berg, S. V., Kristensen, J., Iftikhar, N. & Bøgh, S., 2022, Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. Andersen, A-L., Andersen, R., Brunoe, T. D., Larsen, M. S. S., Nielsen, K., Napoleone, A. & Kjeldgaard, S. (red.). Springer, s. 415-422 8 s. (Proceedings of the 8th International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2021)).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
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Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks
LI, C., Hansen, A. K., Chrysostomou, D., Bøgh, S. & Madsen, O., 16 feb. 2022, The 2022 IEEE/SICE International Symposium on System Integration. IEEE, s. 238-243 6 s.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
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Distributed Fleet Management in Noisy Environments via Model-Predictive Control
Bøgh, S., Jensen, P. G., Kristjansen, M., Nyman, U. & Larsen, K. G., 15 jun. 2022, I: Proceedings International Conference on Automated Planning and Scheduling, ICAPS.Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review
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skrl: Modular and Flexible Library for Reinforcement Learning
Serrano-Muñoz, A., Arana-Arexolaleiba, N., Chrysostomou, D. & Bøgh, S., 8 feb. 2022, I: CoRR. abs/2202.03825, s. 1 6 s., 1.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
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skrl - Modular and Flexible Library for Reinforcement Learning.
Serrano-Muñoz, A., Arana-Arexolaleiba, N., Chrysostomou, D. & Bøgh, S., 2022Publikation: Andet › Andet bidrag › Forskning
Priser
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SCAP2020 Best Presentation Award
Sarivan, Ioan-Matei (Modtager), Madsen, Ole (Modtager) & Bøgh, Simon (Modtager), nov. 2020
Pris: Konferencepriser
Fil
Aktiviteter
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8th Changeable, Agile, Reconfigurable and Virtual Production Conference (Begivenhed)
Simon Bøgh (Medlem)
1 nov. 2021 → 2 nov. 2021Aktivitet: Medlemskab › Medlemskab af bedømmelsesudvalg
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2nd Special Session on Deep Learning As a Mean for Enabling Self-Learning and Self-Optimizing Capabilities in Real-World Industrial Applications
Simon Bøgh (Arrangør)
1 nov. 2021 → 2 nov. 2021Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i workshop, kursus, seminar eller lignende
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PhD Chairman - Muhammad Raza Ul Islam, AAU
Simon Bøgh (Eksaminator)
14 okt. 2021Aktivitet: Censoraktivitet og eksaminering › Intern censoraktivitet/eksaminering
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PhD 11 Months Evaluator - Ioan-Matei Sarivan, Aalborg University, Denmark
Simon Bøgh (Eksaminator)
10 sep. 2021Aktivitet: Censoraktivitet og eksaminering › Intern censoraktivitet/eksaminering
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PhD Midterm Evaluator - Antonio Serrano Muñoz, Mondragon, Spain
Simon Bøgh (Eksaminator)
16 jun. 2021Aktivitet: Censoraktivitet og eksaminering › Ekstern censoraktivitet
Presse/medier
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175 teknologieksperter samles for at gøre Industri 4.0 til virkelighed
07/11/2017
8 elementer af Mediedækning
Presse/medie
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