Stefan Kirst
Papers
1
Total Citations
10
H-Index
1
About
Stefan Kirst is a researcher at the intersection of human-robot interaction, assistive technologies, and autism care. His work focuses on developing socially assistive robots—particularly the Pepper humanoid—to support children with autism spectrum conditions (ASC) in understanding and expressing emotions. In his most cited work (2021, 10 citations), Kirst evaluated an algorithm for optical pulse detection in children, aiming to equip robots with real-time physiological sensing capabilities. This contribution is notable for its effort to integrate multimodal sensing into robotic tutoring systems, enabling robots to adapt their interactions based on a child’s emotional or physiological state. By bridging affective computing and robotics, Kirst’s research advances the design of empathetic, responsive machines for therapeutic and educational settings. His work has implications for personalized autism interventions, where robots can serve as patient, predictable tutors. With a growing citation footprint, Kirst is contributing to the emerging field of socially aware robotics, where machines are not just tools but partners in care.
Research Focus
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Top Papers
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