65 citations · 70 across the 9 of their papers we have counts for
5 papers · 1 filter
Ladder Logic Translation using Large Language Models in Industrial Automation
Oluwatosin Ogundare, Promise Ekpo, Nathanial Wiggins
Ladder logic translation is an important problem in industrial automation because without it, it is difficult to switch Programmable Logic Controller (PLC) vendors. The prevailing…
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Mohamad Fakih, Rahul Dharmaji, Halima Bouzidi +3
Software vulnerabilities continue to be ubiquitous, even in the era of AI-powered code assistants, advanced static analysis tools, and the adoption of extensive testing frameworks.…
LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas +3
Although Large Language Models (LLMs) have established pre-dominance in automated code generation, they are not devoid of shortcomings. The pertinent issues primarily relate to the…
Resiliency Analysis of LLM generated models for Industrial Automation
Oluwatosin Ogundare, Gustavo Quiros Araya, Ioannis Akrotirianakis +1
This paper proposes a study of the resilience and efficiency of automatically generated industrial automation and control systems using Large Language Models (LLMs). The approach i…
No Code AI: Automatic generation of Function Block Diagrams from documentation and associated heuristic for context-aware ML algorithm training
Oluwatosin Ogundare, Gustavo Quiros Araya, Yassine Qamsane
Industrial process engineering and PLC program development have traditionally favored Function Block Diagram (FBD) programming over classical imperative style programming like the…