Papers
1
Total Citations
16
H-Index
1
About
Xu Tang is a leading researcher in the field of robotic grinding and precision actuation, with a primary focus on vibration suppression and control systems for industrial robots. His most notable contribution is the development of a reconstructed hybrid optimized input shaper for series elastic actuators (SEAs), which significantly enhances the stability and accuracy of robotic grinding operations. This work, published in 2024 and already garnering 16 citations, addresses a critical challenge in manufacturing by mitigating harmful vibrations that degrade surface quality and tool life. Tang’s research integrates advanced control theory with practical mechanical design, offering a novel solution that balances compliance and precision—a key bottleneck in high-performance robotics. His work has direct implications for automated machining, where SEA-based systems are increasingly adopted for their safety and adaptability. By optimizing input shaping techniques through hybrid algorithms, Tang has provided a robust framework that improves both the efficiency and reliability of robotic grinding, earning recognition among peers in the robotics and manufacturing communities. His ongoing contributions continue to shape the future of intelligent, vibration-free robotic systems.
Research Focus
Key Achievements
Top Papers
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