The Mobile Robot "Little Helper": Concepts, Ideas and Working Principles. - Mads Hvilshoej; Simon Boegh; Ole Madsen; Morten Kristiansen (ETFA, 2009)

Calibration Techniques for Industrial Mobile Manipulators: Theoretical configurations and Best practices. - Mads Hvilshoej; Simon Boegh; Ole Madsen; Morten Kristiansen (ISR/ROBOTIK, 2010)

Autonomous industrial mobile manipulation (AIMM): past, present and future. - Mads Hvilshøj; Simon Bøgh; Oluf Skov Nielsen; Ole Madsen (Ind. Robot, 2012)

Human-robot interface for instructing industrial tasks using kinesthetic teaching. - Casper Schou; Jens S. Damgaard; Simon Boegh; Ole Madsen (ISR, 2013)

Modelling and Scheduling Autonomous Mobile Robot for a Real-World Industrial Application. - Quang-Vinh Dang 002; Izabela Nielsen; Simon Bøgh; Grzegorz Bocewicz (MIM, 2013)

Intuitive task programming of stud welding robots for ship construction. - Rasmus S. Andersen; Simon Bøgh; Thomas B. Moeslund; Ole Madsen (ICIT, 2015)

Integration of mobile manipulators in an industrial production. - Ole Madsen; Simon Bøgh; Casper Schou; Rasmus Skovgaard Andersen; Jens Skov Damgaard; Mikkel Rath Pedersen; Volker Krüger (Ind. Robot, 2015)

Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures. - Rasmus S. Andersen; Simon Bøgh; Thomas B. Moeslund; Ole Madsen (RO-MAN, 2016)

Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control. - Christian Blad; Carsten Skovmose Kallesøe; Simon Bøgh (SII, 2020)

Transferring Human Manipulation Knowledge to Robots with Inverse Reinforcement Learning*. - Emil Blixt Hansen; Rasmus Eckholdt Andersen; Steffen Madsen; Simon Bøgh (SII, 2020)

Distributed Fleet Management in Noisy Environments via Model-Predictive Control. - Simon Bøgh; Peter Gjøl Jensen; Martin Kristjansen; Kim Guldstrand Larsen; Ulrik Nyman (ICAPS, 2022)

Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning. - Lars Væhrens; Daniel Díez Álvarez; Ulrich Berger 002; Simon Bøgh (ICMLA, 2022)

Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. - Andrej Orsula; Simon Bøgh; Miguel A. Olivares-Méndez; Carol Martínez (IROS, 2022)

Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks. - Chen Li 009; Andreas Kornmaaler Hansen; Dimitrios Chrysostomou; Simon Bøgh; Ole Madsen (SII, 2022)

A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process. - Emil Blixt Hansen; Helge Langseth; Nadeem Iftikhar; Simon Bøgh (CoRR, 2022)

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. - M. A. Zakeri Harandi; Chen Li 009; Casper Schou; Sigurd L. Villumsen; Simon Bøgh; Ole Madsen (AIM, 2023)

A Hybrid Approach for Accurate 6D Pose Estimation of Textureless Objects From Monocular Images. - Valdas Druskinis; Jose Moises Araya-Martinez; Jens Lambrecht; Simon Bøgh; Rui Pimentel de Figueiredo (ETFA, 2023)

Vision-Based Corrosion Identification Using Data-Driven Semantic Segmentation Techniques. - Rui Pimentel de Figueiredo; Simon Bøgh (IST, 2023)

A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots. - Antonio Serrano-Muñoz; Íñigo Elguea-Aguinaco; Dimitrios Chrysostomou; Simon Bøgh; Nestor Arana-Arexolaleiba (SII, 2023)

Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover. - Anton Bjørndahl Mortensen; Emil Tribler Pedersen; Laia Vives Benedicto; Lionel Burg; Mads Rossen Madsen; Simon Bøgh (CoRR, 2023)

skrl: Modular and Flexible Library for Reinforcement Learning. - Antonio Serrano-Muñoz; Dimitrios Chrysostomou; Simon Bøgh; Nestor Arana-Arexolaleiba (J. Mach. Learn. Res., 2023)

A review on reinforcement learning for contact-rich robotic manipulation tasks. - Íñigo Elguea-Aguinaco; Antonio Serrano-Muñoz; Dimitrios Chrysostomou; Ibai Inziarte-Hidalgo; Simon Bøgh; Nestor Arana-Arexolaleiba (Robotics Comput. Integr. Manuf., 2023)

A Complete System for Automated 3D Semantic-Geometric Mapping of Corrosion in Industrial Environments. - Rui Pimentel de Figueiredo; Stefan Nordborg Eriksen; Ignacio Rodríguez; Simon Bøgh (CoRR, 2024)

A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching. - Jose Moises Araya-Martinez; Vinicius Soares Matthiesen; Simon Bøgh; Jens Lambrecht; Rui Pimentel de Figueiredo (Frontiers Robotics AI, 2024)

Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks. - Íñigo Elguea-Aguinaco; Aitor Aguirre Ortuzar; Unai Izagirre-Aizpitarte; Ibai Inziarte-Hidalgo; Simon Bøgh; Nestor Arana-Arexolaleiba (Knowl. Based Syst., 2025)