Yunna Xue
Papers
3
Total Citations
26
H-Index
3
About
Yunna Xue is a robotics and control systems researcher whose work has made meaningful contributions to the field of automated manufacturing, with a particular focus on robotic deburring processes. Working primarily in 2006, Xue developed innovative adaptive and intelligent control strategies to address longstanding limitations in force-controlled robotic finishing operations. A central challenge in conventional deburring — that force control methods tend to replicate surface imperfections rather than correct them — motivated Xue's development of adaptive algorithms capable of detecting burrs and cavities on workpieces and responding dynamically to surface irregularities. Xue's most-cited contribution, "Adaptive Control of Robotic Deburring Process Based on Impedance Control," has garnered 15 citations and introduced a framework that moves beyond passive force replication toward intelligent surface correction. Complementing this, Xue pioneered the application of fuzzy logic to compliance control, combining fuzzy impedance and velocity controllers to enhance constrained motion performance and improve the quality of deburred surfaces. Collectively, Xue's body of work, accumulating over 26 citations, reflects a focused and technically sophisticated effort to bring greater precision, adaptability, and intelligence to robotic manufacturing processes — research that remains relevant to ongoing advances in industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Control of Robotic Deburring Process Based on Impedance Control15 citations · 2006
- 2An Adaptive algorithm for robotic deburring based on impedance control6 citations · 2006
- 3Intelligent Compliance Control for Robotic Deburring Using Fuzzy Logic5 citations · 2006