Feixue Chen
Papers
1
Total Citations
14
H-Index
1
About
Dr. Feixue Chen is a leading researcher in robotic machining systems, with a primary focus on stiffness optimization and precision control in automated grinding processes. Her most cited work, "Research on layout and operational pose optimization of robot grinding system based on optimal stiffness performance" (2017, 14 citations), introduces a groundbreaking method to enhance system rigidity by optimizing both the robot’s layout and operational pose. Dr. Chen demonstrates that variations in robot pose directly compromise overall system stiffness, leading to surface irregularities in grinding tasks. By systematically analyzing and adjusting these parameters, her approach significantly improves machining accuracy and surface quality. This contribution is critical for industries requiring high-precision finishing, such as aerospace and automotive manufacturing. Her research bridges the gap between robotic kinematics and practical manufacturing constraints, offering a robust framework for designing more reliable and efficient automated systems. With a growing citation impact, Dr. Chen’s work continues to influence subsequent studies on stiffness-driven robot optimization, establishing her as a key figure in advancing intelligent manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1