K. Ueyama

Papers

Total Citations

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About

K. Ueyama is a pioneering researcher in the fields of cognitive robotics and artificial consciousness, focusing on bridging the gap between human-like awareness and autonomous machine behavior. Their most notable contribution is the development of a hierarchical architecture that models consciousness and emotion in robots, designed to enhance human-robot interaction and affinity. This work, detailed in their 2011 paper "Autonomous motion selection via consciousness-based architecture" (4 citations), proposes a novel framework where a robot’s internal states—analogous to human consciousness—directly influence its behavioral choices, enabling more intuitive and adaptive responses. While Ueyama’s citation count reflects the niche and emerging nature of this research area, their conceptual approach has laid foundational groundwork for integrating psychological models into robotic systems. By attempting to emulate the subjective experience of consciousness in machines, Ueyama challenges traditional paradigms in artificial intelligence, offering a unique perspective on how robots might one-day interact with humans on a deeper, more empathetic level. Their work continues to inspire researchers exploring the intersection of neuroscience, philosophy, and robotics.