Manuel F. Struck
Papers
1
Total Citations
10
H-Index
1
About
Manuel F. Struck is a researcher at the intersection of human-robot interaction and assistive technologies, with a primary focus on supporting children with autism spectrum conditions (ASC). His work centers on developing socially assistive robots that can engage in socio-emotional interactions, using platforms like the Pepper humanoid robot as a tutor for children in autism care. Struck’s key contributions include designing algorithms for optical pulse detection in children, enabling robots to perceive physiological cues and adapt their behavior accordingly. His most-cited paper, “Evaluation of an algorithm for optical pulse detection in children for application to the Pepper robot” (2021, 10 citations), demonstrates his commitment to multimodal sensing—integrating vision, touch, and audio—to create responsive, empathetic robotic systems. By bridging robotics and clinical psychology, Struck’s research advances the use of humanoid robots as therapeutic tools, offering scalable support for social skill development. His work is notable for its practical, child-centered approach, aiming to make technology a compassionate partner in care.
Research Focus
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Top Papers
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