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001008373 037__ $$aRWTH-2025-02991
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001008373 1001_ $$0P:(DE-82)IDM05783$$aGorißen, Leon Michel$$b0$$urwth
001008373 245__ $$aDemonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab: Data and Software$$honline
001008373 260__ $$c2025
001008373 3367_ $$2BibTeX$$aMISC
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001008373 520__ $$aThis dataset accompanies the publication Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab. It includes robot trajectory data, trained models, and source code used to develop and validate a foundation model for inverse dynamics control. The dataset captures motion from multiple Franka Emika Panda operating in distinct manufacturing use cases, enabling cross-domain learning and model adaptation. In the project all data is stored in a research data repository with semantic annotations, ensuring findability and interoperability. A release of the raw data is made available here. The foundation model can be fine-tuned for specific applications, supporting efficient robotic control and advancing data-driven manufacturing strategies. As of December 2024 the project is not concluded and future updates might be provided. Links to the datasets and code are provided below with DOIs for accessibility and reuse. <br><br>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germanys Excellence Strategy – EXC-2023 Internet of Production – 390621612.
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001008373 536__ $$0G:(GEPRIS)390621612$$aDFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612)$$c390621612$$x1
001008373 591__ $$aGermany
001008373 653_7 $$aIndustry 4.0
001008373 653_7 $$aTransfer Learning
001008373 653_7 $$aFoundation Models
001008373 653_7 $$aDigital Shadow
001008373 653_7 $$aDigital Twin
001008373 7001_ $$0P:(DE-82)IDM05786$$aSchneider, Jan-Niklas$$b1$$urwth
001008373 7001_ $$0P:(DE-82)IDM05624$$aBehery, Mohamed Anwar Abdellatif$$b2$$urwth
001008373 7001_ $$0P:(DE-82)IDM01846$$aBrauner, Philipp$$b3$$urwth
001008373 7001_ $$0P:(DE-82)IDM06044$$aLennartz, Moritz$$b4$$urwth
001008373 7001_ $$0P:(DE-82)IDM05639$$aKötter, Ender David$$b5$$urwth
001008373 7001_ $$0P:(DE-82)IDM05785$$aKaster, Thomas$$b6$$urwth
001008373 7001_ $$0P:(DE-82)IDM04679$$aKastner, Daniel$$b7$$urwth
001008373 7001_ $$0P:(DE-82)IDM02498$$aHinke, Christian Rüdiger$$b8$$urwth
001008373 7001_ $$0P:(DE-82)IDM01055$$aGries, Thomas$$b9$$urwth
001008373 7001_ $$0P:(DE-82)000876$$aLakemeyer, Gerhard$$b10$$urwth
001008373 7001_ $$0P:(DE-82)IDM00463$$aZiefle, Martina$$b11$$urwth
001008373 7001_ $$0P:(DE-82)IDM00329$$aBrecher, Christian$$b12$$urwth
001008373 7001_ $$0P:(DE-82)IDM05864$$aHäfner, Constantin Leon$$b13$$urwth
001008373 7870_ $$0RWTH-2024-12157$$aGorißen, Leon Michel et.al.$$d2024$$iRelatedTo$$tDemonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab
001008373 8564_ $$uhttps://s.fhg.de/gorissen-2025a
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