Tangyu Xu
Papers
1
Total Citations
2
H-Index
1
About
Tangyu Xu is a researcher at the forefront of intelligent manufacturing and robotics, with a primary focus on the modeling, control, and vibration suppression of flexible manipulator systems. Their most notable contribution lies in pioneering the integration of deep learning techniques with active vibration control for intelligent flexible robotic arms—a critical advancement for precision tasks in modern industrial automation. Xu's work addresses the fundamental challenge of balancing flexibility and accuracy in rigid-flexible robotic systems, proposing novel deep learning-based models that enable real-time adaptation and vibration mitigation. This research, published in 2022, has already garnered attention within the field, accumulating citations that underscore its relevance to both theoretical robotics and practical manufacturing applications. By bridging artificial intelligence with mechanical control theory, Xu is helping to shape the next generation of intelligent manufacturing systems, where robots can operate with greater dexterity, safety, and efficiency. Their contributions are particularly significant as industries move toward more adaptable and human-friendly automation solutions.
Research Focus
Key Achievements
Top Papers
- 1