Xiaobing Feng

Papers

Total Citations

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About

Xiaobing Feng is a researcher specializing in robotics and intelligent manufacturing, with a particular focus on precision automation for aerospace assembly. Their most cited work, "An On-Line Path Correction Method Based on 2D Laser Profile Measurement for Gluing Robot" (2022), addresses a critical challenge in aircraft manufacturing: compensating for positioning errors and structural deformations during automated gluing operations. By integrating 2D laser profile measurement with real-time path correction, Feng developed a method that significantly enhances the accuracy and reliability of robotic gluing systems—a vital process alongside riveting and bolting in aircraft assembly. This contribution bridges the gap between CAM-generated robotic programs and real-world manufacturing conditions, improving quality control in high-stakes production environments. While their citation count currently stands at 3, the work represents an important step toward more adaptive and error-tolerant industrial robotics. Feng's research sits at the intersection of sensor integration, path planning, and manufacturing automation, offering practical solutions for reducing waste and rework in precision assembly tasks. Their work continues to influence developments in intelligent manufacturing systems for the aerospace sector.