Xueyang Chen
Papers
2
Total Citations
12
H-Index
2
About
Xueyang Chen is a leading researcher in advanced manufacturing, specializing in the precision and performance of industrial robots for hybrid manufacturing processes. His work focuses on addressing critical challenges in robotic accuracy and stiffness, which are essential for integrating additive and subtractive manufacturing in a single robotic system. Chen’s major contributions include developing novel evaluation methods for trajectory accuracy based on joint angle error analysis, a key factor limiting robot performance even after calibration. He also pioneered a trajectory stiffness mapping method to mitigate the effects of heavy external loads—such as deposition extruder weight or machining forces—on operational precision. His most-cited paper, "Industrial Robot Trajectory Accuracy Evaluation Maps for Hybrid Manufacturing Process Based on Joint Angle Error Analysis" (2018), has garnered 9 citations, reflecting its foundational impact on the field. Additionally, his 2016 work on stiffness mapping has laid the groundwork for more robust robotic manufacturing systems. Chen’s research is pivotal for industries seeking to enhance the reliability and accuracy of robotic hybrid manufacturing, making him a notable figure in the intersection of robotics and advanced production technologies.
Research Focus
Key Achievements
Top Papers
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