Xiaoxiao Sun

Southeast University, Northwestern Polytechnical University, Nanjing Institute of Technology

Papers

Total Citations

142

H-Index

About

Xiaoxiao Sun is a leading researcher in precision robotics and mechanical transmission systems, whose work directly addresses the critical challenges of accuracy and surface quality in automated manufacturing. Sun’s primary contributions lie in two interconnected domains: robotic path planning for complex surface machining and the dynamic analysis of high-precision reducers. In robotic belt grinding, Sun proposed a novel path planning method (83 citations) that tackles the key bottleneck of surface quality for workpieces with complex geometries, significantly advancing the capabilities of automated finishing systems. Complementing this, Sun’s analysis of the China Bearing Reducer (CBR) has been foundational, with a 2017 study on lost motion (51 citations) and a recent 2024 investigation into meshing characteristics under tooth modification and manufacturing error, both essential for the high transmission accuracy required in robotic joints and CNC machine tool turntables. Sun has also contributed to the control of mobile robots, developing a model predictive control-based visual trajectory-tracking method for wheeled platforms. Through this blend of theoretical modeling and practical application, Sun’s work directly impacts the precision and reliability of industrial robotics, earning recognition from peers and establishing a strong foundation for future innovations in automated manufacturing.