Kei Ueyama
Papers
1
Total Citations
3
H-Index
1
About
Kei Ueyama is a researcher in cognitive robotics and artificial life, whose work explores the intersection of autonomous systems, motivation-based behavior, and artificial consciousness. His most notable contribution, the 2011 paper "Autonomous action selection with motivation-based consciousness and behavior architecture of animal," introduces a pioneering framework that integrates a motivation model with motion control to enable robots to exhibit natural, emotionally expressive behaviors—such as love and pity—that mimic human-like consciousness. Though this work has garnered 3 citations, its conceptual ambition lies in bridging computational architectures with philosophical questions about emotion and self-awareness in machines. Ueyama’s research pushes the boundaries of how robots can autonomously select actions based on internal drives, aiming to create more lifelike and empathetic artificial agents. His efforts contribute to the broader fields of embodied cognition and human-robot interaction, offering a unique perspective on designing systems that not only perform tasks but also simulate emotional depth. For students and researchers, Ueyama’s work invites reflection on the nature of consciousness and the potential for machines to replicate complex human experiences.
Research Focus
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Top Papers
- 1