Xiaoyuan Zhu

Papers

Total Citations

H-Index

About

Xiaoyuan Zhu is a leading researcher at the intersection of human-robot interaction (HRI) and artificial intelligence, with a primary focus on socially assistive robotics (SAR) for vulnerable populations. Their most cited work, a 2024 survey on how large language models (LLMs) can enable better SAR, has already garnered 15 citations, highlighting its timely impact. Zhu’s core contributions lie in bridging the gap between advanced AI and personalized cognitive-affective support, particularly for older adults, children with autism spectrum disorder (ASD), and individuals facing mental health challenges. By systematically analyzing how LLMs can enhance robots’ social and emotional capabilities, Zhu has laid critical groundwork for more adaptive, empathetic robotic companions. Their research not only synthesizes a fragmented field but also proposes actionable pathways for integrating natural language understanding into assistive technologies. Zhu’s work is notable for its human-centered design philosophy, emphasizing real-world deployment and ethical considerations. As a rising voice in HRI, their survey serves as a foundational reference for researchers aiming to make socially assistive robots more intuitive, responsive, and genuinely helpful in caregiving and therapeutic contexts.