Vol. 2 No. 10 (2025)

The 10th issue of IJETAA features a groundbreaking study on intelligent PLC code generation for industrial automation. This issue presents a novel multi-agent system that leverages Large Language Models and Retrieval-Augmented Generation to automatically transform natural language requirements into cross-platform PLC code compliant with IEC 61131-3 standards. The featured research addresses critical challenges in traditional PLC programming by integrating four specialized collaborative agents with domain knowledge injection mechanisms and multi-layer verification processes. Experimental validation using a robotic arm refractory brick handling case demonstrates 90.3% compilation success rate and 73.3% development time reduction, showcasing the transformative potential of AI-driven approaches in industrial automation software development and offering valuable insights for advancing intelligent manufacturing technologies.