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pro vyhledávání: '"Andersen, Rasmus Eckholdt"'
Robot perception is far from what humans are capable of. Humans do not only have a complex semantic scene understanding but also extract fine-grained intra-object properties for the salient ones. When humans look at plants, they naturally perceive th
Externí odkaz:
http://arxiv.org/abs/2312.08805
Publikováno v:
In Ocean Engineering 15 February 2023 270
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Autor:
Andersen, Rasmus Eckholdt, Hansen, Emil Blixt, Cerny, David, Madsen, Steffen, Pulendralingam, Biranavan, Bøgh, Simon, Chrysostomou, Dimitrios
Publikováno v:
In Procedia Manufacturing 2017 11:114-123
Autor:
Andersen, Rasmus Eckholdt
Publikováno v:
Andersen, R E 2022, Machine Learning Based Perception for Inspection . Technical University of Denmark .
Globalization raises the need for cost-effective transportation of goods and merchandise. One of the most cost-effective ways is by the sea. To ensure safe transportation, vessels are periodically inspected for faults and defects. The areas requiring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::2c5a830211c44be8e9cd9dc3aa0850a1
https://orbit.dtu.dk/en/publications/09086379-184f-441c-818b-3e9c7f45fcc7
https://orbit.dtu.dk/en/publications/09086379-184f-441c-818b-3e9c7f45fcc7
Autor:
Andersen, Rasmus Eckholdt, Madsen, Steffen, Barlo, Alexander Bendix Krukow, Blegebrønd Johansen, Sebastian, Nør, Morten, Andersen, Rasmus Skovgaard, Bøgh, Simon
Publikováno v:
Andersen, R E, Madsen, S, Barlo, A B K, Blegebrønd Johansen, S, Nør, M, Andersen, R S & Bøgh, S 2019, Self-learning Processes in Smart Factories : Deep Reinforcement Learning for Process Control of Robot Brine Injection . in 29th International Conference on Flexible Automation and Intelligent Manufacturing : FAIM 2019 . vol. 38, Elsevier, Procedia Manufacturing, pp. 171-177, 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2019), Limerick, Ireland, 24/06/2019 . https://doi.org/10.1016/j.promfg.2020.01.023
The goal of this paper is to investigate the application of adaptive learning algorithms, which enables industrial robots to cope with natural variations exhibited in a brine injection process related to the production of bacon. Due to the variations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::34f092cef562bdea3113859d4ba7f09c
https://vbn.aau.dk/ws/files/331260683/_2019_Self_learning_Processes_in_Smart_Factories_Deep_Reinforcement_Learning_for_Process_Control_of_Robot_PREPRINT.pdf
https://vbn.aau.dk/ws/files/331260683/_2019_Self_learning_Processes_in_Smart_Factories_Deep_Reinforcement_Learning_for_Process_Control_of_Robot_PREPRINT.pdf
Akademický článek
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