Marius Auflem
Papers
2
Total Citations
12
H-Index
2
About
Marius Auflem is a researcher at the intersection of human-robot interaction, artificial intelligence, and medical simulation. His work focuses on enhancing both robotic expressiveness and clinical training through innovative sensing and machine learning techniques. In his highly cited 2022 paper, "Facing the FACS," Auflem introduced a novel framework that leverages open-source computer vision and AI to evaluate and control facial action units in humanoid robot faces—enabling more natural, scalable, and flexible expressive capabilities for social robots. This contribution has garnered 9 citations and addresses a critical gap in Human-Robot Interaction tools. More recently, in 2023, Auflem turned his attention to medical education with "Playing the Pipes," where he combined acoustic sensing and machine learning to automatically generate performance feedback during endotracheal intubation simulation. This work targets a core emergency medicine skill, aiming to reduce complications like ineffective ventilation and laryngotracheal injury. By bridging robotics and clinical training, Auflem demonstrates a commitment to applying AI-driven solutions to real-world challenges, making his research both technically rigorous and socially impactful.
Research Focus
Key Achievements
Top Papers
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- 2