Utilizing LLMs for Industrial Process Automation
2026-02-26 • Software Engineering
Software EngineeringArtificial Intelligence
AI summaryⓘ
The authors point out that while many studies use Large Language Models (LLMs) for popular programming languages like Python, little research has been done on using LLMs for specialized industrial automation languages. These languages are often proprietary and used in manufacturing systems. Their work focuses on applying LLMs to help with real-world programming tasks in factories, such as creating movement instructions for robotic arms. This approach aims to make developing industrial automation software faster and easier.
Large Language ModelsIndustrial AutomationProprietary Programming LanguagesRobotic Arm ProgrammingSoftware EngineeringManufacturing SystemsDevelopment CycleAutomation Software
Authors
Salim Fares
Abstract
A growing number of publications address the best practices to use Large Language Models (LLMs) for software engineering in recent years. However, most of this work focuses on widely-used general purpose programming languages like Python due to their widespread usage training data. The utility of LLMs for software within the industrial process automation domain, with highly-specialized languages that are typically only used in proprietary contexts, remains underexplored. This research aims to utilize and integrate LLMs in the industrial development process, solving real-life programming tasks (e.g., generating a movement routine for a robotic arm) and accelerating the development cycles of manufacturing systems.