Xifan Yao
Papers
1
Total Citations
2
H-Index
1
About
Xifan Yao is a researcher in mechanical engineering and robotics, with a primary focus on the simulation, optimization, and dynamic analysis of robotic manipulator systems. His work centers on improving the structural performance and reliability of multi-degree-of-freedom (DOF) robotic arms through advanced finite element methods. In his notable 2014 study, Yao introduced a novel approach for structural dynamic simulation and integrated optimization of a 6-DOF manipulator’s gear system using ANSYS Workbench. By modeling elastic frictional contact between driving and driven gears, his research provided critical insights into load transmission and system flexibility, enabling more accurate predictions of manipulator behavior under real-world operating conditions. Though his most cited paper has garnered 2 citations, Yao’s contributions are valuable for engineers seeking to enhance the precision and durability of robotic systems through computational simulation. His work supports the broader goal of developing more efficient, reliable industrial robots, and reflects a dedicated effort to bridge theoretical mechanics with practical design optimization.
Research Focus
Key Achievements
Top Papers
- 1