Guoyi Xia
Papers
3
Total Citations
33
H-Index
2
About
Guoyi Xia is a leading researcher at the forefront of Industry 5.0, specializing in human-robot collaboration (HRC) and digital twin technologies. His work centers on making industrial environments safer, more efficient, and truly human-centric. Xia’s major contributions include developing advanced human behavior modeling frameworks that predict worker motions and segment actions in real-time, enabling proactive robot control and seamless task allocation. His comprehensive 2025 review on human modeling for HRC and digital twins, which has already garnered 20 citations, systematically maps the field, addressing models for human cognition, ergonomics, and motion. This foundational work is complemented by his highly cited paper on context-aware motion prediction for sustainable HRC (11 citations), which tackles the economic, environmental, and social pillars of Industry 5.0. Xia’s hierarchical human behavior framework further demonstrates his impact by integrating motion prediction for collision avoidance with action segmentation for dynamic task allocation. By bridging the gap between human capabilities and robotic precision, Guoyi Xia is shaping the future of collaborative, sustainable manufacturing—a critical endeavor for next-generation smart factories.
Research Focus
Key Achievements
Top Papers
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