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Simon Bøgh
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Robot skills for manufacturing: From concept to industrial deployment
MR Pedersen, L Nalpantidis, RS Andersen, C Schou, S Bøgh, V Krüger, ...
Robotics and Computer-Integrated Manufacturing 37, 282-291, 2016
4792016
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey
EB Hansen, S Bøgh
Journal of Manufacturing Systems 58, 362-372, 2021
2872021
Skill-based instruction of collaborative robots in industrial settings
C Schou, RS Andersen, D Chrysostomou, S Bøgh, O Madsen
Robotics and Computer-Integrated Manufacturing 53, 72-80, 2018
1482018
Autonomous industrial mobile manipulation (AIMM): past, present and future
M Hvilshøj, S Bøgh, OS Nielsen, O Madsen
Industrial Robot: An International Journal 39 (2), 120-135, 2012
1362012
A skill-based robot co-worker for industrial maintenance tasks
PJ Koch, MK van Amstel, P Dębska, MA Thormann, AJ Tetzlaff, S Bøgh, ...
Procedia Manufacturing 11, 83-90, 2017
1002017
Does your robot have skills?
S Bøgh, OS Nielsen, MR Pedersen, V Krüger, O Madsen
Proceedings of the 43rd international symposium on robotics, 2012
922012
Human-robot interface for instructing industrial tasks using kinesthetic teaching
C Schou, JS Damgaard, S Bøgh, O Madsen
IEEE ISR 2013, 1-6, 2013
872013
“little helper”—an autonomous industrial mobile manipulator concept
M Hvilshøj, S Bøgh
International Journal of Advanced Robotic Systems 8 (2), 15, 2011
862011
Integration of mobile manipulators in an industrial production
O Madsen, S Bøgh, C Schou, RS Andersen, JS Damgaard, MR Pedersen, ...
Industrial Robot: An International Journal 42 (1), 11-18, 2015
672015
The mobile robot “Little Helper”: concepts, ideas and working principles
M Hvilshøj, S Bøgh, O Madsen, M Kristiansen
2009 IEEE Conference on Emerging Technologies & Factory Automation, 1-4, 2009
632009
Integration of a skill-based collaborative mobile robot in a smart cyber-physical environment
RE Andersen, EB Hansen, D Cerny, S Madsen, B Pulendralingam, ...
Procedia Manufacturing 11, 114-123, 2017
602017
Identifying and evaluating suitable tasks for autonomous industrial mobile manipulators (AIMM)
S Bøgh, M Hvilshøj, M Kristiansen, O Madsen
The International Journal of Advanced Manufacturing Technology 61, 713-726, 2012
542012
A dual-arm collaborative robot system for the smart factories of the future
JF Buhl, R Grønhøj, JK Jørgensen, G Mateus, D Pinto, JK Sørensen, ...
Procedia manufacturing 38, 333-340, 2019
512019
A review on reinforcement learning for contact-rich robotic manipulation tasks
Í Elguea-Aguinaco, A Serrano-Muñoz, D Chrysostomou, I Inziarte-Hidalgo, ...
Robotics and Computer-Integrated Manufacturing 81, 102517, 2023
422023
Integration and assessment of multiple mobile manipulators in a real-world industrial production facility
S Bogh, C Schou, T Rühr, Y Kogan, A Dömel, M Brucker, C Eberst, ...
ISR/Robotik 2014; 41st International Symposium on Robotics, 1-8, 2014
392014
Autonomous industrial mobile manipulation (AIMM): from research to industry
S Bøgh, M Hvilshøj, M Kristiansen, O Madsen
Proceedings of the 42nd International Symposium on Robotics, 2011
382011
Intuitive task programming of stud welding robots for ship construction
RS Andersen, S Bøgh, TB Moeslund, O Madsen
2015 IEEE International Conference on Industrial Technology (ICIT), 3302-3307, 2015
302015
Towards a robot simulation framework for e-waste disassembly using reinforcement learning
CB Kristensen, FA Sørensen, HB Nielsen, MS Andersen, SP Bendtsen, ...
Procedia Manufacturing 38, 225-232, 2019
282019
Multiple part feeding–real‐world application for mobile manipulators
M Hvilshøj, S Bøgh, OS Nielsen, O Madsen
Assembly Automation 32 (1), 62-71, 2012
282012
Data-driven offline reinforcement learning for HVAC-systems
C Blad, S Bøgh, CS Kallesøe
Energy 261, 125290, 2022
262022
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