11/02/2026
Our latest article on "LLM-Enhanced Control of a Mobile Robotic Platform for Smart Industry", within the BOOST-AI: Building Opportunities for SMEs Sustainable Entrepreneurship with Artificial Intelligence in Industry 5.0 project, has been published by Applied Sciences MDPI!
In this study, we investigate the suitability of current-generation systems for industrial control. We present a systematic, end-to-end methodology for four GenAI/LLMs, SmolLM2, Llama 3.2, Gemma3, and Gemma3-qat, for a typical mobile robot platform configuration. The approach is two-staged, based on both assessing the specific domain knowledge of the models in an industrial context and their integration with a robotic simulation environment based on ROS2. Reported results focus on quantitative assessment of multiple metrics (quality, coverage, speed, and reliability) and their integration in aggregated scoring mechanisms, which can help developers select and adapt the best model for a particular application, together with custom implementation.
This is joint work with colleagues from Asti Automation (Grigore Stamatescu), Politechnika Gdańska (Marek Chodnicki) and Universitatea POLITEHNICA din București (Catalin Gheorghe Amza).
👀 The full open access article is available here: https://www.mdpi.com/2076-3417/16/4/1680