Papers
17
Total Citations
160
H-Index
8
About
Nguyen Tan Viet Tuyen is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on emotional expression, non-verbal communication, and culturally adaptive behavior in social robots. His work addresses a fundamental challenge in robotics: enabling machines to communicate naturally and empathetically with humans across diverse cultural contexts. Among his most significant contributions are his incremental learning models for generating emotional bodily expressions in robots, work that has earned substantial recognition — his two most-cited papers alone have accumulated over 60 citations. His 2017 research on encoding cultural norms into robot emotion representation was notably pioneering, recognizing that emotional behavior cannot be culturally universal in human-robot interaction. He has also made important advances in gesture generation, leveraging Generative Adversarial Networks (GANs) to produce communicative gestures that align with conversational context and affective cues. Beyond expression generation, Tuyen has contributed valuable open resources to the research community, including a multimodal dataset designed to support robots learning to imitate social human-human interaction. His more recent work extends these capabilities into rehabilitation robotics, demonstrating the real-world clinical potential of socially intelligent machines. Altogether, his research charts a compelling vision of robots that are not merely functional, but genuinely socially fluent.
Research Focus
Key Achievements
Top Papers
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- 3Encoding cultures in robot emotion representation12 citations · 2017
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- 5Learning from Humans to Generate Communicative Gestures for Social Robots10 citations · 2020
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