Yuya Kurono
Papers
2
Total Citations
11
H-Index
2
About
Yuya Kurono is a researcher at the forefront of human-robot interaction, specializing in affective computing and empathetic robotics. His work centers on enabling machines to perceive and mirror human emotions, a critical step toward building trust and natural rapport between people and robots. Kurono’s most cited research, including "A Preliminary Experiment on the Estimation of Emotion Using Facial Expression and Biological Signals" (6 citations), demonstrates his foundational approach to fusing facial recognition with physiological data—such as heart rate or skin conductance—to accurately gauge emotional states. Building on this, his study "Study of Empathy on Robot Expression Based on Emotion Estimated from Facial Expression and Biological Signals" (5 citations) explores how robots can dynamically replicate these detected emotions through their own expressions, fostering genuine empathy in human-robot encounters. Though still early in his career, Kurono’s contributions are pivotal for advancing socially intelligent robots capable of nuanced emotional exchange. His work not only highlights the technical challenges of multimodal emotion estimation but also underscores the profound impact of empathetic design on improving human-machine collaboration, making him a promising voice in the field of social robotics.
Research Focus
Key Achievements
Top Papers
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