Simon Bøgh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Topics

Industrial Production

Reinforcement Learning

Predictive Control

Top Venues

Robotics Comput. Integr. Manuf.

Publications

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 (2024)
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 (2023)
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 (2023)
Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba
skrl: Modular and Flexible Library for Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Rui Pimentel de Figueiredo, Simon Bøgh
Vision-Based Corrosion Identification Using Data-Driven Semantic Segmentation Techniques. IST (2023)
Antonio Serrano-Muñoz, Íñigo Elguea-Aguinaco, Dimitris Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots. SII (2023)
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)
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)
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)
Antonio Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, Simon Bøgh
skrl: Modular and Flexible Library for Reinforcement Learning. CoRR (2022)
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 (2022)
Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martinez
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. IROS (2022)
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)
Simon Bøgh, Peter Gjøl Jensen, Martin Kristjansen, Kim Guldstrand Larsen, Ulrik Nyman
Distributed Fleet Management in Noisy Environments via Model-Predictive Control. ICAPS (2022)
Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martinez
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. CoRR (2022)
Christian Blad, Carsten Skovmose Kallesøe, Simon Bøgh
Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control. SII (2020)
Emil Blixt Hansen, Rasmus Eckholdt Andersen, Steffen Madsen, Simon Bøgh
. SII (2020)
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)
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) (2015)
Rasmus S. Andersen, Simon Bøgh, Thomas B. Moeslund, Ole Madsen
Intuitive task programming of stud welding robots for ship construction. ICIT (2015)
Quang-Vinh Dang, Izabela Nielsen, Simon Bøgh, Grzegorz Bocewicz
Modelling and Scheduling Autonomous Mobile Robot for a Real-World Industrial Application. MIM (2013)
Mads Hvilshøj, Simon Bøgh, Oluf Skov Nielsen, Ole Madsen
Autonomous industrial mobile manipulation (AIMM): past, present and future. Ind. Robot 39 (2) (2012)