Papers
1
Total Citations
6
H-Index
1
About
Fangda Xu is a researcher in advanced manufacturing and robotics, with a focus on precision and efficiency in hybrid manufacturing systems. Their most cited work, "Efficient positioning error compensation for robots in wire arc hybrid manufacturing systems" (2025, 6 citations), addresses a critical challenge in additive-subtractive processes: minimizing positional inaccuracies that compromise part quality. By developing novel compensation algorithms, Xu has contributed to enhancing the reliability of robotic systems in metal additive manufacturing, enabling tighter tolerances and reduced waste. This work holds particular significance for industries requiring high-precision components, such as aerospace and automotive. Though early in their career, Xu’s research demonstrates a clear trajectory toward solving real-world manufacturing bottlenecks, bridging the gap between theoretical robotics and practical industrial application. Their contributions underscore the growing importance of error mitigation in automated production, positioning them as a promising voice in the field of smart manufacturing and robotic control.
Research Focus
Key Achievements
Top Papers
- 1