Xingzhi Guo

Ming Chuan University, National Taiwan University

Papers

Total Citations

H-Index

About

Xingzhi Guo is a robotics researcher whose work bridges computer vision, autonomous navigation, and human-robot interaction. His early research focused on real-time self-localization for omni-vision robots, contributing to the Federation of International Robot-soccer Association (FIRA) RoboSot category. In his most-cited paper (10 citations), he integrated computer vision, dynamic target tracking, and wireless communication to enable autonomous mobile robots to localize themselves in real time—a foundational challenge in robotics. More recently, Guo has explored the affective dimension of robotics, investigating how robots can infer human feelings and desires to promote trust in human-robot collaboration (4 citations). This shift from purely technical localization to socially aware robotics reflects a growing interest in making autonomous systems not just functional, but empathetic partners. While his citation counts are modest, Guo’s work contributes to two critical frontiers: the practical engineering of real-time robotic perception and the emerging field of trust-aware human-robot interaction. His research is particularly relevant for students interested in the intersection of computer vision, embedded systems, and social robotics.