Xuan Dung To
Papers
1
Total Citations
4
H-Index
1
About
Xuan Dung To is a researcher at the forefront of advanced manufacturing and robotics, with a primary focus on incremental sheet forming and intelligent control systems. His most notable contribution lies in the development of a deep neural network-based trajectory control system for robotized incremental sheet forming, which integrates force/torque compensation with task-space error tracking. This work, published in 2025 and already garnering 4 citations, demonstrates a pioneering approach to enhancing precision and adaptability in flexible forming processes—a critical challenge for industries requiring rapid prototyping and low-volume production. By bridging machine learning with robotic manipulation, To’s research addresses the limitations of traditional forming methods, offering a pathway toward fully autonomous, high-accuracy manufacturing. His achievements underscore a commitment to solving real-world engineering problems through interdisciplinary innovation, making his work highly relevant for students and researchers exploring the intersection of robotics, control theory, and materials processing.
Research Focus
Key Achievements
Top Papers
- 1