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TY  - CHART
AU  - Gorißen, Leon Michel
AU  - Schneider, Jan-Niklas
AU  - Behery, Mohamed Anwar Abdellatif
AU  - Brauner, Philipp
AU  - Lennartz, Moritz
AU  - Kötter, Ender David
AU  - Kaster, Thomas
AU  - Kastner, Daniel
AU  - Hinke, Christian Rüdiger
AU  - Gries, Thomas
AU  - Lakemeyer, Gerhard
AU  - Ziefle, Martina
AU  - Brecher, Christian
AU  - Häfner, Constantin Leon
TI  - Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab: Data and Software
M1  - RWTH-2025-02991
PY  - 2025
AB  - 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. <br><br>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germanys Excellence Strategy – EXC-2023 Internet of Production – 390621612.
LB  - PUB:(DE-HGF)32
UR  - https://publications.rwth-aachen.de/record/1008373
ER  -