Dieses Bild zeigt Yuchen Xia

Yuchen Xia


Akademischer Mitarbeiter
Institut für Automatisierungstechnik und Softwaresysteme


+49 711 685 67307
+49 711 685 67302

Pfaffenwaldring 47
70550 Stuttgart
Raum: 1.138

Zeitschriften und Konferenzen:


    • Intelligent Automation Systems enhanced with Large Language Model Agents.
    • Adaptation of Large Language Models for Specialized Tasks in Industrial Automation
    • Atomic Skill Modeling to Encapsulate the Functional Operation of Automation Systems.
    • Semantics in Digital Twins
    • Semantics in Autonomous Driving Scenarios


    LLMs are groundbreaking AI models that exhibit remarkable capabilities in interpreting complex texts and approximating human knowledge. These models exhibit impressive proficiency in comprehending and analyzing semantics in natural language, while also displaying advanced abilities in reasoning and problem-solving.

    By combining automation systems, digital twins and large language models, my research seeks to develop more intelligent and efficient systems. On one hand, automation systems are enhanced with digital twins and LLMs to unlock the potential of data- and AI-driven smart factories. On the other hand, LLMs can interact with physical environments by having an embodiment in reality through the established infrastructure that consists of automation systems and digital twins. This approach equips an artificial “brain” with mechatronic “hands” and “eyes” for more intelligent interaction. By combining these interdisciplinary technologies, my objective is to develop innovative technology stacks that enhance the efficiency and intelligence of smart factories.


    Google Scholar: https://scholar.google.de/citations?user=hi1srxkAAAAJ

    Research Gate: https://www.researchgate.net/profile/Yuchen-Xia-4

    LinkedIn: https://www.linkedin.com/in/xiayuchen/

    My academic voyage started at the esteemed Wuhan University in China (2011), where I earned my first Bachelor’s Degree in Mechanical Design and Automation (2017). During this period, I also participated in a dual-degree program that took me to the University of Stuttgart. Here, I completed the full study program in Automotive and Engine Technology, earning my second Bachelor’s Degree in Germany (2017).

    For my master’s studies, I delved into the specialized fields of Mechatronics and Autonomous Driving. I earned my master’s degree from the University of Stuttgart in 2019 and felt compelled to continue my academic journey, leading me to pursue a doctoral degree.

    2020 was a challenging year. The Corona Pandemic made it difficult to secure a researcher position. Although I received offers from the engineering job market, I declined them, because I simply want to create something technologically cool and new as a free researcher. So, I spent one year preparing a research proposal and received the financial support from Stiftung der Deutschen Wirtschaft.

    Since 2021, I pivoted to studying the semantics of information models. I followed the traces in my research exploration, which led me to the fields of Natural Language Processing (NLP) and Deep Learning. Now, my expertise lies in Large Language Models and their applications in industrial automation. I am confident in my research direction and consistently seek to broaden my knowledge and skills, with a vision to build a start-up grounded in my research insights and results.





    Akademische Mitarbeiter

    Digitaler Zwilling für die Automatisierungstechnik

    Intelligente und lernende Automatisierungssysteme

    Komplexitätsbeherrschung in der Automatisierungstechnik

    Risikoanalyse und Anomalieerkennung für vernetzte Automatisierungssysteme

    Stipendiat Graduate School of Excellence advanced Manufacturing Engineering (GSaME)


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