Projects per year
Personal profile
Research profile
Research
- Space Robotics
- Artificial Intelligence
- Machine Learning
- Deep Reinforcement Learning
My current research is primarily studying Deep Reinforcement Learning for space robotics, industrial robotics and industrial processes, where the robot or agent, through its own trial-and-error, learns to optimize its 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).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- Industry and Production
- Artificial Intelligence (AI)
- Reinforcement Learning
- Machine Learning
- Self-Learning Systems
- Collaborative Robots
- Industry 4.0
- Internet of Things
- Predictive Analytics
- Space Robotics
- Computer Science
- Artificial Intelligence
- Machine Learning
- Robotics
- Deep Learning
- Reinforcement Learning
- Predictive Analytics
- Space Robotics
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Dive into details by clicking on the dots.
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PACMAN: PACMAN - Predictive Automatic Corrosion Management
Bøgh, S., Figueiredo, R. M. H. P. D. & Eriksen, S. N.
01/02/2022 → 31/01/2024
Project: Research
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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 → …
Project: Research
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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
Project: Research
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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 → 31/12/2022
Project: Research
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Research output
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A Hybrid Approach for Accurate 6D Pose Estimation of Textureless Objects From Monocular Images
Druskinis, V., Moises Araya-Martinez, J., Lambrecht, J., Miguel Horta Pimentel de Figueiredo, R. & Bøgh, S., Sept 2023, In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. 8 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
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A Laboratory Test of an Offline-trained Multi-Agent Reinforcement Learning Algorithm for Heating Systems
Blad, C., Bøgh, S., Kallesøe, C. & Raftery, P., 1 May 2023, In: Applied Energy. 337, 120807.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
Serrano-Munoz, A., Elguea-Aguinaco, I., Chrysostomou, D., Bogh, S. & Arana-Arexolaleiba, N., 15 Feb 2023, 2023 IEEE/SICE International Symposium on System Integration, SII 2023. IEEE, (2023 IEEE/SICE International Symposium on System Integration, SII 2023).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus) -
Hey Max, can you help me? An Intuitive Virtual Assistant for Industrial Robots
LI, C., Chrysostomou, D., Pinto, D. R., Hansen, A. K., Bøgh, S. & Madsen, O., Jan 2023, In: Applied Sciences. 13, 1, 205.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)44 Downloads (Pure) -
skrl: Modular and Flexible Library for Reinforcement Learning
Serrano-Muñoz, A., Chrysostomou, D., Bøgh, S. & Arana-Arexolaleiba, N., 15 Aug 2023, In: Journal of Machine Learning Research. 24, 254, p. 1-9 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile10 Downloads (Pure)
Prizes
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SCAP2020 Best Presentation Award
Sarivan, Ioan-Matei (Recipient), Madsen, Ole (Recipient) & Bøgh, Simon (Recipient), Nov 2020
Prize: Conference prizes
File
Activities
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Visit and networking meeting with Samsung Global Research Institute
Dmitrij Slepniov (Organizer), Ray Hwang (Participant), Simon Bøgh (Participant) & Ole Madsen (Participant)
10 Mar 2023Activity: Attending an event › Organisation or participation in workshops, courses, or seminars
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PhD Chairman - Malte Rørmose Damgaard, AAU
Simon Bøgh (Internal examiner)
14 Feb 2023Activity: Examination › Internal examination
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University of California at San Diego
Dimitris Chrysostomou (Visiting researcher), Simon Bøgh (Visiting researcher), Casper Schou (Visiting researcher), Karl Damkjær Hansen (Visiting researcher) & Nestor Arana Arexolaleiba (Visiting researcher)
5 Nov 2022 → 13 Nov 2022Activity: Visiting another research institution
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8th Changeable, Agile, Reconfigurable and Virtual Production Conference (Event)
Simon Bøgh (Member)
1 Nov 2021 → 2 Nov 2021Activity: Memberships › Membership of review committee
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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 (Organizer)
1 Nov 2021 → 2 Nov 2021Activity: Attending an event › Organisation or participation in workshops, courses, or seminars
Press/Media
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Danish Delegation Visits Houston Seeking New Opportunities in Space Sector
09/02/2023
1 item of Media coverage
Press/Media: Press / Media
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Danish space delegation tours Rice campus, Houston, Texas
07/02/2023
1 item of Media coverage
Press/Media: Press / Media
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Forudsigelser af rust skal spare krævende offshore-reparationer væk
01/06/2022
1 item of Media coverage
Press/Media: Press / Media
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Techfestival North 2019 // Mød forsker Simon Bøgh
25/09/2019
1 item of Media coverage
Press/Media: Press / Media
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175 teknologieksperter samles for at gøre Industri 4.0 til virkelighed
07/11/2017
8 items of Media coverage
Press/Media: Press / Media