Yu‐Ting Hsiao

Papers

Total Citations

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About

Yu-Ting Hsiao is a researcher at the intersection of social robotics and human-robot interaction, with a focus on developing intelligent systems that operate seamlessly in human-centered environments. Her primary research areas include social robot navigation, conversational agents, and assistive technologies for the elderly. Hsiao's most notable contribution is her work on composite reinforcement learning for social robot navigation, which addresses the critical limitation of traditional navigation systems that prioritize efficiency over social appropriateness. By integrating multiple metrics beyond simple path minimization, her 2018 paper (24 citations) provides a framework for robots to navigate in a socially aware manner, considering human presence and behavioral norms—a foundational step toward truly collaborative human-robot coexistence. Additionally, her 2020 study on hybrid conversational agents with semantic association of autobiographic memories (3 citations) explores how robots can engage elderly users through personalized, memory-driven dialogue, enhancing emotional connection and cognitive stimulation. This work underscores her commitment to developing socially intelligent robots that not only move gracefully among people but also communicate meaningfully, particularly for vulnerable populations. Hsiao's research bridges technical innovation with human-centric design, offering practical pathways for robots to become empathetic, context-aware companions in everyday life.