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About

Andreas Luxenburger is a leading researcher at the intersection of **Industrie 4.0, human-robot collaboration, and digital twin technology**, with a focus on making industrial production safer, more intuitive, and more efficient. His most impactful work explores how **Augmented Reality (AR)** can serve as a communication bridge between human workers and robots, particularly in complex settings like aircraft assembly. His 2019 paper on this topic, with 17 citations, demonstrates how AR glasses orchestrate hybrid human-robot teams for riveting tasks. Luxenburger has also pioneered the use of **Interactive Digital Twins** and **Asset Administration Shells** for real-time planning and worker safety in intralogistics and production, a contribution that has already garnered 9 citations since 2024. He extends this work into distributed manufacturing, showing how collaborative robots can be controlled remotely via Virtual Reality. Beyond assembly, his **WALL-ET** project applies social cognitive robots to assist with unergonomic tasks in warehouses and supermarkets. Through his leadership of the Human-Robot-Collaboration lab, Luxenburger is shaping the future of safe, changeable, and human-centered production systems.