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ORCIDSimon Bøgh
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- affiliation: Aalborg Universitet, Denmark
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2020 – today
- 2024
[i5]Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodríguez, Simon Bøgh:
A Complete System for Automated 3D Semantic-Geometric Mapping of Corrosion in Industrial Environments. CoRR abs/2404.13691 (2024)- 2023
- [j4]Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba:
skrl: Modular and Flexible Library for Reinforcement Learning. J. Mach. Learn. Res. 24: 254:1-254:9 (2023) - [j3]Íñigo Elguea-Aguinaco
, Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Ibai Inziarte-Hidalgo, Simon Bøgh, Nestor Arana-Arexolaleiba:
A review on reinforcement learning for contact-rich robotic manipulation tasks. Robotics Comput. Integr. Manuf. 81: 102517 (2023) - [c16]M. A. Zakeri Harandi, Chen Li, Casper Schou, Sigurd L. Villumsen, Simon Bøgh, Ole Madsen:
STAD-FEBTE, a shallow and supervised framework for time series anomaly detection by automatic feature engineering, balancing, and tree-based ensembles: An industrial case study. AIM 2023: 840-846 - [c15]Valdas Druskinis, Jose Moises Araya-Martinez, Jens Lambrecht, Simon Bøgh, Rui Pimentel de Figueiredo:
A Hybrid Approach for Accurate 6D Pose Estimation of Textureless Objects From Monocular Images. ETFA 2023: 1-8 - [c14]Rui Pimentel de Figueiredo, Simon Bøgh:
Vision-Based Corrosion Identification Using Data-Driven Semantic Segmentation Techniques. IST 2023: 1-6 - [c13]Antonio Serrano-Muñoz, Íñigo Elguea-Aguinaco, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba:
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots. SII 2023: 1-5 - [i4]Anton Bjørndahl Mortensen, Emil Tribler Pedersen, Laia Vives Benedicto, Lionel Burg, Mads Rossen Madsen, Simon Bøgh:
Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover. CoRR abs/2309.12807 (2023) - 2022
- [c12]Simon Bøgh, Peter Gjøl Jensen, Martin Kristjansen, Kim Guldstrand Larsen, Ulrik Nyman:
Distributed Fleet Management in Noisy Environments via Model-Predictive Control. ICAPS 2022: 565-573 - [c11]Lars Væhrens, Daniel Díez Álvarez, Ulrich Berger, Simon Bøgh:
Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning. ICMLA 2022: 1250-1257 - [c10]Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martínez:
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. IROS 2022: 4112-4119 - [c9]Chen Li, Andreas Kornmaaler Hansen, Dimitrios Chrysostomou, Simon Bøgh, Ole Madsen:
Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks. SII 2022: 238-243 - [i3]Antonio Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, Simon Bøgh:
skrl: Modular and Flexible Library for Reinforcement Learning. CoRR abs/2202.03825 (2022) - [i2]Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martínez:
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. CoRR abs/2208.00818 (2022) - [i1]Emil Blixt Hansen, Helge Langseth, Nadeem Iftikhar, Simon Bøgh:
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process. CoRR abs/2208.05208 (2022) - 2020
- [c8]Emil Blixt Hansen, Rasmus Eckholdt Andersen, Steffen Madsen, Simon Bøgh:
Transferring Human Manipulation Knowledge to Robots with Inverse Reinforcement Learning*. SII 2020: 933-937 - [c7]Christian Blad, Carsten Skovmose Kallesøe, Simon Bøgh:
Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control. SII 2020: 938-942
2010 – 2019
- 2016
- [c6]Rasmus S. Andersen, Simon Bøgh, Thomas B. Moeslund, Ole Madsen:
Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures. RO-MAN 2016: 880-887 - 2015
- [j2]Ole Madsen, Simon Bøgh, Casper Schou, Rasmus Skovgaard Andersen, Jens Skov Damgaard, Mikkel Rath Pedersen, Volker Krüger:
Integration of mobile manipulators in an industrial production. Ind. Robot 42(1): 11-18 (2015) - [c5]Rasmus S. Andersen, Simon Bøgh, Thomas B. Moeslund, Ole Madsen:
Intuitive task programming of stud welding robots for ship construction. ICIT 2015: 3302-3307 - 2013
- [c4]Casper Schou, Jens S. Damgaard, Simon Boegh, Ole Madsen:
Human-robot interface for instructing industrial tasks using kinesthetic teaching. ISR 2013: 1-6 - [c3]Quang-Vinh Dang, Izabela Nielsen, Simon Bøgh, Grzegorz Bocewicz:
Modelling and Scheduling Autonomous Mobile Robot for a Real-World Industrial Application. MIM 2013: 2098-2103 - 2012
- [j1]Mads Hvilshøj, Simon Bøgh, Oluf Skov Nielsen, Ole Madsen:
Autonomous industrial mobile manipulation (AIMM): past, present and future. Ind. Robot 39(2): 120-135 (2012) - 2010
- [c2]Mads Hvilshoej, Simon Boegh, Ole Madsen, Morten Kristiansen:
Calibration Techniques for Industrial Mobile Manipulators: Theoretical configurations and Best practices. ISR/ROBOTIK 2010: 1-7
2000 – 2009
- 2009
- [c1]Mads Hvilshoej, Simon Boegh, Ole Madsen, Morten Kristiansen:
The Mobile Robot "Little Helper": Concepts, Ideas and Working Principles. ETFA 2009: 1-4
Coauthor Index
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