Yixin Xie

Shenzhen Institute of Information Technology

Papers

Total Citations

H-Index

About

Yixin Xie is a researcher working at the intersection of robotics, computer vision, and automation, with a focus on precision assembly systems. Their work addresses the challenging problem of 6D pose estimation and visual servoing in industrial contexts, particularly within the 3C (Computer, Communication, and Consumer Electronics) products manufacturing domain. In their most notable contribution, "Model Predictive 6D Image-Based Visual Servoing for 3C Products Assembly" (2022), Xie advances the application of model predictive control frameworks combined with image-based visual servoing to enable robots to perform highly accurate, real-time assembly tasks — a critical challenge in modern smart manufacturing. This work demonstrates a sophisticated integration of predictive modeling and visual feedback loops to improve the reliability and speed of robotic assembly operations. While still early in their citation trajectory with 2 citations, the research addresses a timely and industrially relevant problem as manufacturers increasingly seek intelligent automation solutions. Xie's contributions position them as an emerging voice in the robotics and intelligent manufacturing community, with potential for growing influence as automation demands in electronics production continue to accelerate.