Industry Assignment
Industry assignment, encompassing tasks like automated production, predictive maintenance, and risk assessment, aims to optimize industrial processes using AI and robotics. Current research focuses on developing and deploying advanced models such as generative AI, graph neural networks, and various neural network architectures (including YOLO and transformers) for improved efficiency, safety, and decision-making. This work is significant for its potential to enhance productivity, reduce operational costs, and improve workplace safety across diverse sectors, driving innovation in manufacturing, logistics, and other industries. Furthermore, research emphasizes responsible AI implementation, addressing ethical considerations and the skills gap between academia and industry.
Papers
MBSE analysis for energy sustainability improvement in manufacturing industry
Romain Delabeye, Olivia Penas, Martin Ghienne, Arkadiusz Kosecki, Jean-Luc Dion
Industry 4.0 Asset Administration Shell (AAS): Interoperable Skill-Based Service-Robots
Vineet Nagrath, Timo Blender, Nayabrasul Shaik, Christian Schlegel