Capability-Driven Skill Generation with LLMs: A RAG-Based Approach for Reusing Existing Libraries and Interfaces

Modern automation systems increasingly rely on modular architectures, with capabilities and skills as one solution approach. Capabilities define the functions of resources in a machine-readable form and skills provide the concrete implementations that realize those capabilities. However, the develop...

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Veröffentlicht in:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) S. 1 - 8
Hauptverfasser:	Vieira Da Silva, Luis Miguel, Koche, Aljosha, Konig, Nicolas, Gehlhoff, Felix, Fay, Alexander
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 09.09.2025
Schlagworte:	Capabilities Code-Generation Codes Large language models LLMs Manufacturing automation Mobile robots Natural languages Ontologies Python RAG Retrieval augmented generation Semantic Web Skills Software libraries
ISSN:	1946-0759
Online-Zugang:	Volltext
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