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Ebru Turanoglu Bekar on Muck Rack

Ebru Turanoglu Bekar

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Articles

Computer Science > Artificial Intelligence

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By Siyuan Chen, Omkar Salunkhe, Ebru Turanoglu Bekar
| arXiv
Flexible manufacturing requires industrial robots to be reprogrammed rapidly as product variants change. This paper presents a language-model-based workflow that generates, validates, and iteratively corrects ABB RAPID robot programs from natural language task descriptions. A dual-stream retrieval-augmented generation (RAG) pipeline grounds code generation in verified technical documentation and production templates, reducing domain-specific errors produced by ungrounded language models.
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