Yu-Ang Tan

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About

Yu-Ang Tan is a researcher at the intersection of social robotics, human-robot interaction, and affective computing, with a focus on enhancing quality of life for vulnerable populations, particularly the elderly. Their most-cited work, "Robot Enabled Service Personalisation Based On Emotion Feedback" (2016), introduces a pioneering framework that enables social robots to autonomously learn and adapt to users’ emotional states and preferences over time. By integrating real-time emotion feedback, Tan’s research empowers robots to deliver personalised, context-aware services in healthcare settings—moving beyond static interactions toward truly responsive care. This contribution has garnered 2 citations and lays foundational groundwork for emotionally intelligent assistive technologies. Tan’s work is notable for bridging technical robotics with human-centred design, addressing critical challenges in aging populations and long-term care. Their research underscores a vision where robots not only assist but also build empathetic, adaptive relationships with users, making them more effective companions in health and wellbeing contexts. For students and researchers, Tan’s approach exemplifies how affective feedback loops can transform service robots from tools into partners.