Michael Schiffmann

TH Köln - University of Applied Sciences

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About

Dr. Michael Schiffmann is a pioneering researcher at the intersection of social robotics, human-robot interaction, and healthcare technology. His primary research focuses on developing autonomous robotic systems capable of perceiving and responding to human social signals, with a particular emphasis on applications in nursing and public spaces. Dr. Schiffmann’s most notable contribution is the development of a nursing robot designed for social interactions and health assessment, a groundbreaking work that has garnered 13 citations and laid the foundation for integrating robotic caregivers into clinical environments. He further advanced the field by creating multi-modal emotion recognition systems that enable robots to adapt their behavior to individual users, a study cited 5 times for its innovative approach to user personalization. Most recently, his 2024 field trial evaluating social robots in public spaces introduced a novel methodology for assessing user impressions through social signals rather than traditional questionnaires, addressing a critical bottleneck in real-world deployment. Dr. Schiffmann’s work is distinguished by its practical focus on bridging the gap between laboratory prototypes and functional robots that can meaningfully engage with humans in everyday settings.