Dazhuang Tian
Papers
3
Total Citations
69
H-Index
3
About
Dazhuang Tian is a leading researcher in intelligent robotic manufacturing, specializing in precision machining of complex aerospace components. His work focuses on three interconnected areas: robotic profiling and grinding of blade edges, hand-eye calibration for industrial robots, and surface reconstruction for additively repaired components. Tian’s major contributions include developing a technology framework that integrates model reconstruction with trajectory replanning for robotic blade-edge profiling, significantly improving machining accuracy and efficiency. He also proposed a novel matrix-solving hand-eye calibration method that accounts for robot kinematic errors, enhancing positioning precision in automated systems. More recently, Tian introduced an optimal reference iteration-based surface reconstruction framework for robotic grinding of additively repaired blades with local deformation, addressing critical challenges in remanufacturing. His most-cited papers have accumulated 69 citations since 2023, reflecting growing recognition in the field. Notably, his work directly supports the aerospace industry’s need for high-precision, automated repair and manufacturing of turbine blades, demonstrating both theoretical depth and practical impact. Tian’s research continues to push boundaries in robotic machining, offering innovative solutions for complex geometric and material challenges.
Research Focus
Key Achievements
Top Papers
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