Hermann Mueller
Papers
1
Total Citations
28
H-Index
1
About
Hermann Mueller is a cognitive robotics researcher whose work bridges the gap between human perception and artificial systems. His primary research areas include body ownership illusions, multisensory integration, and predictive coding in robotics. Mueller's most significant contribution is his groundbreaking 2018 study, "Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection," which replicated the rubber-hand illusion on a robotic platform. This work demonstrated that humans experience spatial drift in perceiving their real limb toward a fake one during synchronous visuo-tactile stimulation, challenging traditional models of body estimation. By showing that prediction errors fuse rather than select hypotheses, Mueller provided a novel framework for understanding how the brain updates its body representation. His work has garnered 28 citations, influencing both cognitive science and robotics. Mueller's innovative approach—using robots to test human perceptual theories—has opened new avenues for studying embodied cognition and developing more intuitive human-robot interfaces. His research continues to shape how we understand the neural mechanisms underlying self-awareness and artificial intelligence.
Research Focus
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Top Papers
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