Papers
2
Total Citations
21
H-Index
2
About
Tianzhu Xun is a leading researcher in robotic grinding and force control, with a focus on enhancing precision and stability in automated manufacturing. His work centers on developing advanced control strategies for series elastic actuators (SEAs) and rigid-flexible coupled force-controlled systems, addressing critical challenges in adaptive robotic grinding. Xun’s major contributions include the design of a reconstructed hybrid optimized input shaper for vibration suppression in SEAs, which significantly improves grinding accuracy and safety—a paper that has garnered 16 citations since 2024. He also pioneered a novel continuous dynamic model for nonlinear friction compensation, tackling the persistent issue of force control precision degradation caused by friction disturbances. This work, cited 5 times, demonstrates how understanding three key friction factors—such as stiction and Coulomb friction—can dramatically enhance actuator performance. Xun’s research has direct implications for high-precision manufacturing, where even minor force errors can compromise product quality. His achievements highlight a systematic approach to bridging theoretical control models with real-world robotic applications, making him a notable figure in the field of industrial robotics and mechatronics.
Research Focus
Key Achievements
Top Papers
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