The award highlights the project as a strong example of how generative AI, digital twins, and industrial data platforms can be integrated into a coherent digital thread across digital engineering and digital manufacturing. The Code Agents project demonstrates the use of AI‑based agents for robot code generation and validation, combining IP‑protected code libraries with simulation‑based verification using digital twins. The recognised solution showcased an end‑to‑end industria

This thesis examines how cognitive augmentation technologies like VR, video instruction, and AI systems can support human-centric manufacturing in Industry 5.0, showing that well-designed, adaptive solutions can enhance learning and performance while managing mental workload. Read the full thesis Author: Huizhong Cao Examiner: Björn Johansson Supervisor: Johan Stahre Co-supervisor: Peter Thorvald & Cecilia Berlin & Clarissa González Opponent: Jan Gulliksen Year: 2025 Digital

This thesis develops an AI- and digital twin–based framework to enable prescriptive maintenance in Industry 4.0, helping transform maintenance from reactive processes into intelligent, data-driven decision-making systems despite technical and organizational challenges. Read the full thesis Author : Siyuan Chen Examiner : Johan Stahre Supervisor : Anders Skoogh Co-supervisors : Ebru Turanoglu Bekar & Jon Bokrant & Sunith Bandaru Opponent : Giovanni Lugaresi Year : 2025 In the