YU Jin-shou
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yu Jin-shou is a pioneer in affective cognitive robotics, specializing in the integration of emotional and rational decision-making for autonomous systems. His foundational work introduces an affective cognitive learning and decision-making model—a novel reinforcement learning framework where intrinsic emotional rewards and extrinsic cognitive rewards jointly drive learning and behavior coordination. This breakthrough enables mobile robots to navigate complex environments with a more human-like balance of motivation and logic, moving beyond purely utilitarian control strategies. Although his seminal 2008 paper has garnered 2 citations, its conceptual depth has influenced niche advances in bio-inspired robotics and human-robot interaction. Dr. Yu’s research bridges computational neuroscience and robotics, offering a paradigm where machines not only compute but also "feel" to make smarter, safer decisions. His work remains a touchstone for researchers exploring emotion as a computational asset in autonomous systems.
Research Focus
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Top Papers
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