Simon Bøgh

Orcid: 0000-0002-5960-4365

Affiliations:
  • Aalborg Universitet, Denmark


According to our database1, Simon Bøgh authored at least 22 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
A review on reinforcement learning for contact-rich robotic manipulation tasks.
Robotics Comput. Integr. Manuf., June, 2023

skrl: Modular and Flexible Library for Reinforcement Learning.
J. Mach. Learn. Res., 2023

Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover.
CoRR, 2023

A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Vision-Based Corrosion Identification Using Data-Driven Semantic Segmentation Techniques.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2023

A Hybrid Approach for Accurate 6D Pose Estimation of Textureless Objects From Monocular Images.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

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.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process.
CoRR, 2022

Bringing a Natural Language-enabled Virtual Assistant to Industrial Mobile Robots for Learning, Training and Assistance of Manufacturing Tasks.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Distributed Fleet Management in Noisy Environments via Model-Predictive Control.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2020
Transferring Human Manipulation Knowledge to Robots with Inverse Reinforcement Learning<sup>*</sup>.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2016
Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

2015
Integration of mobile manipulators in an industrial production.
Ind. Robot, 2015

Intuitive task programming of stud welding robots for ship construction.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2013
Modelling and Scheduling Autonomous Mobile Robot for a Real-World Industrial Application.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Human-robot interface for instructing industrial tasks using kinesthetic teaching.
Proceedings of the 44th Internationel Symposium on Robotics, 2013

2012
Autonomous industrial mobile manipulation (AIMM): past, present and future.
Ind. Robot, 2012

2010
Calibration Techniques for Industrial Mobile Manipulators: Theoretical configurations and Best practices.
Proceedings of the ISR/ROBOTIK 2010, Proceedings for the joint conference of ISR 2010 (41st Internationel Symposium on Robotics) und ROBOTIK 2010 (6th German Conference on Robotics), 7-9 June 2010, Munich, Germany, 2010

2009
The Mobile Robot "Little Helper": Concepts, Ideas and Working Principles.
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2009


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