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Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
April 23, 2024, 4:44 a.m. | Benjamin Alt, Urs Ke{\ss}ner, Aleksandar Taranovic, Darko Katic, Andreas Hermann, Rainer J\"akel, Gerhard Neumann
cs.LG updates on arXiv.org arxiv.org
Abstract: Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts. We propose a natural language-based assistant for programming of advanced, industrial robotic applications and investigate strategies for domain-specific fine-tuning of foundation models with limited data and compute.
abstract advanced applications arxiv assistant cs.ai cs.cl cs.hc cs.lg cs.ro domain experts fine-tuning foundation industrial industrial robots industries interactive language language models large language large language models natural natural language programming robot robotic robot programming robots strategies type
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