Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming

arXiv:2312.13905v2 Announce Type: replace-cross
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