Domain-Specific Fine-Tuning of Large Language Models for Interactive
  Robot Programming
Benjamin Alt Urs Keßner Aleksandar Taranovic Darko Katic Andreas Hermann Rainer Jäkel Gerhard Neumann
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.