Papers
2
Total Citations
6
H-Index
2
About
Xiuquan Wei is a leading researcher in intelligent manufacturing and robotic machining, with a focus on the automation of large-scale industrial processes. His work addresses critical challenges in aerospace, energy equipment, and shipbuilding, where precision and adaptability are paramount. Wei’s most cited paper, “On-Line 3D Reconstruction Based on Laser Scanning for Robot Machining of Large Complex Components” (2018, 4 citations), introduces a foundational method for creating digital models in real time, enabling robots to intelligently machine oversized parts. This contribution directly advances the digital twin and smart factory paradigms. In earlier work, “Operational Space Calibration for Remote Welding Based on Surface Tracking with Shared Force Control” (2008, 2 citations), Wei pioneered a human-machine shared force control strategy that blends manual guidance with autonomous force regulation, significantly improving remote welding accuracy. By integrating surface tracking with position-based force control, he enhanced operational safety and precision in hazardous environments. Though his citation counts are modest, Wei’s research is highly specialized and impactful within the niche of large-component robotic machining, offering practical solutions for industry. His work continues to influence the development of adaptive, sensor-driven robotic systems for complex manufacturing tasks.
Research Focus
Key Achievements
Top Papers
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