Georg Stemmer

Friedrich-Alexander-Universität Erlangen-Nürnberg

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About

Georg Stemmer is a pioneering researcher in the integration of artificial intelligence with robotics, with a primary focus on human-robot interaction, multimodal perception, and autonomous defect detection. His seminal work on the MOBSY platform, published in 2001 and 2003, established foundational methods for combining vision and dialogue systems in service robots, enabling more natural and effective human-robot communication. These early contributions, which have garnered over 25 citations collectively, helped shape the trajectory of interactive robotics. More recently, Stemmer has advanced the field of industrial automation through his innovative application of deep learning to robotic welding. His 2024 study on unsupervised welding defect detection using audio and video demonstrates a novel approach to quality control, allowing robots to autonomously identify manufacturing flaws without requiring labeled training data. This work addresses a critical gap in industrial robotics, where real-time defect detection remains a significant challenge. Stemmer’s research trajectory—from foundational human-robot interaction to cutting-edge industrial AI—reflects a sustained commitment to making robots more perceptive, autonomous, and useful in real-world settings.