Huiwen Xia

Papers

Total Citations

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About

Huiwen Xia is a robotics researcher whose work bridges artificial intelligence, machine vision, and human-robot interaction. Her most-cited study, "Voice-Controlled Tea Pouring Robot Based on Machine Vision and Artificial Potential Field Method" (2020), exemplifies her focus on integrating cutting-edge AI with culturally relevant applications. In this paper, Xia developed a tea-serving robot that combines voice control, visual perception, and the artificial potential field method for obstacle avoidance, demonstrating strong adaptive learning capabilities. While her citation count is modest, this work highlights her contribution to making robotics more intuitive and contextually aware—particularly for domestic and service-oriented environments. By embedding AI into everyday tasks, Xia addresses the growing demand for intelligent, user-friendly robots in Chinese households. Her research reflects a broader trend in robotics: moving beyond industrial automation toward socially assistive and culturally embedded systems. As the field evolves, Xia’s work on voice-controlled, vision-guided manipulation offers a foundation for future innovations in service robotics, where seamless human-robot collaboration is paramount.