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001     1008373
005     20260127103553.0
037 _ _ |a RWTH-2025-02991
041 _ _ |a English
100 1 _ |0 P:(DE-82)IDM05783
|a Gorißen, Leon Michel
|b 0
|u rwth
245 _ _ |a Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab: Data and Software
|h online
260 _ _ |c 2025
336 7 _ |2 BibTeX
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336 7 _ |0 PUB:(DE-HGF)32
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|a Dataset
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|m dataset
|s 1742391371_889565
336 7 _ |0 26
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|a Chart or Table
336 7 _ |2 DataCite
|a Dataset
336 7 _ |2 ORCID
|a DATA_SET
336 7 _ |2 DINI
|a ResearchData
520 _ _ |a This dataset accompanies the publication Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab. It includes robot trajectory data, trained models, and source code used to develop and validate a foundation model for inverse dynamics control. The dataset captures motion from multiple Franka Emika Panda operating in distinct manufacturing use cases, enabling cross-domain learning and model adaptation. In the project all data is stored in a research data repository with semantic annotations, ensuring findability and interoperability. A release of the raw data is made available here. The foundation model can be fine-tuned for specific applications, supporting efficient robotic control and advancing data-driven manufacturing strategies. As of December 2024 the project is not concluded and future updates might be provided. Links to the datasets and code are provided below with DOIs for accessibility and reuse.

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germanys Excellence Strategy – EXC-2023 Internet of Production – 390621612.
536 _ _ |0 G:(DE-82)X080067-WS-A.III
|a WS-A.III - Functional Perspective (X080067-WS-A.III)
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536 _ _ |0 G:(GEPRIS)390621612
|a DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612)
|c 390621612
|x 1
591 _ _ |a Germany
653 _ 7 |a Industry 4.0
653 _ 7 |a Transfer Learning
653 _ 7 |a Foundation Models
653 _ 7 |a Digital Shadow
653 _ 7 |a Digital Twin
700 1 _ |0 P:(DE-82)IDM05786
|a Schneider, Jan-Niklas
|b 1
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700 1 _ |0 P:(DE-82)IDM05624
|a Behery, Mohamed Anwar Abdellatif
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700 1 _ |0 P:(DE-82)IDM01846
|a Brauner, Philipp
|b 3
|u rwth
700 1 _ |0 P:(DE-82)IDM06044
|a Lennartz, Moritz
|b 4
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700 1 _ |0 P:(DE-82)IDM05639
|a Kötter, Ender David
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700 1 _ |0 P:(DE-82)IDM05785
|a Kaster, Thomas
|b 6
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700 1 _ |0 P:(DE-82)IDM04679
|a Kastner, Daniel
|b 7
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700 1 _ |0 P:(DE-82)IDM02498
|a Hinke, Christian Rüdiger
|b 8
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700 1 _ |0 P:(DE-82)IDM01055
|a Gries, Thomas
|b 9
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700 1 _ |0 P:(DE-82)000876
|a Lakemeyer, Gerhard
|b 10
|u rwth
700 1 _ |0 P:(DE-82)IDM00463
|a Ziefle, Martina
|b 11
|u rwth
700 1 _ |0 P:(DE-82)IDM00329
|a Brecher, Christian
|b 12
|u rwth
700 1 _ |0 P:(DE-82)IDM05864
|a Häfner, Constantin Leon
|b 13
|u rwth
787 0 _ |0 RWTH-2024-12157
|a Gorißen, Leon Michel et.al.
|d 2024
|i RelatedTo
|t Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab
856 4 _ |u https://s.fhg.de/gorissen-2025a
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980 1 _ |a PublicReference
980 _ _ |a dataset
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980 _ _ |a I:(DE-82)080067_20181221
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980 _ _ |a I:(DE-82)735410_20230123
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980 _ _ |a I:(DE-82)053100_20140620
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980 _ _ |a I:(DE-82)080013_20140620
980 _ _ |a I:(DE-82)120000_20140620
980 _ _ |a UNRESTRICTED


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