George Chryssolouris is Professor at the Department of Mechanical Engineering and Aeronautics and founding Director of the Laboratory for Manufacturing Systems and Automation (LMS). His research interests include production systems planning and control, software development for industrial networking, innovative manufacturing processes, virtual reality engineering applications, and quality control and metrology. Kosmas Alexopoulos has a Ph.D. in Engineering (2006) from the University of Patras – Greece in the topic of flexibility measurement in production systems. His research area and expertise are in the fields of smart factory, digital factory, flexibility of manufacturing systems, virtual reality, internet of things, cyber-physical-systems, industrial product service systems, computer-aided ergonomics analysis and modelling, human motion modelling and simulation, semantics. He works as Research Engineer at the Laboratory for Manufacturing Systems and Automation (LMS) in the Department of Mechanical Engineering and Aeronautics Zoi Arkouli holds a Mechanical and Aeronautics Engineering diploma from the University of Patras. She is currently employed as Research Engineer at the Laboratory for Manufacturing Systems and Automation (LMS), and she has been actively involved in a number of EU funded projects (PROGRAMS, PENELOPE, MERGING). She is experienced in physics-based modelling, digital twin, predictive maintenance, design and simulation with CAD tools (e.g. CATIA, DELMIA), as well as in the design of HR collaboration in assembly lines. Her research interests include but are not limited to advanced physics-based modelling, predictive maintenance, Artificial Intelligence in manufacturing systems, flexible materials manipulation, as well as in human–robot interaction.

• 1. Introduction.- 2. Overview of Artificial Intelligence Technologies.- 3. Artificial Intelligence in manufacturing processes.-  4. Artificial Intelligence in manufacturing automation and robotics.- 5. Artificial Intelligence in manufacturing systems.- 6. Future research directions.