Yingjie Guo
Papers
11
Total Citations
528
H-Index
6
About
Yingjie Guo is a robotics researcher whose work centers on precision manufacturing automation, with particular expertise in robotic machining, kinematic calibration, and automated composite manufacturing processes. His most influential contributions address a fundamental challenge in industrial robotics: improving the accuracy and stability of robot manipulators in demanding manufacturing environments. Guo's early and most impactful work focused on robotic machining, where his 2015 paper on stiffness-oriented posture optimization — now cited over 259 times — established key methodologies for configuring robots to minimize deflection during cutting operations. Complementing this, his vibration analysis work in robotic boring (132 citations) helped lay the groundwork for suppressing chatter, a persistent obstacle in high-precision aerospace applications. His development of a dedicated robotic boring system for aircraft assembly intersection holes further demonstrated his ability to translate theory into practical industrial solutions. In more recent years, Guo has expanded into kinematic calibration and error compensation, producing notable methods for pose error correction, joint space division, and dual-robot coordination accuracy. His growing body of work in automated fiber placement reflects an evolution toward advanced composite manufacturing. Collectively, his research has meaningfully advanced the reliability and precision of robotic systems in aerospace and high-tolerance industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Stiffness-oriented posture optimization in robotic machining applications259 citations · 2015
- 2Vibration analysis and suppression in robotic boring process132 citations · 2015
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- 5A robotic boring system for intersection holes in aircraft assembly14 citations · 2018
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