Xiaojia Shi

Tianjin University, State Grid Hebei Electric Power Company

Papers

Total Citations

113

H-Index

About

Xiaojia Shi is a leading researcher in industrial robotics, specializing in precision calibration, real-time error compensation, and coordinate transformation for high-accuracy manufacturing. Their most influential work addresses a critical limitation of industrial robots—low absolute accuracy and stiffness—which restricts their use in high-precision applications. Shi developed an innovative online real-time path compensation system using laser trackers, enabling robots to correct positional errors during operation, a breakthrough that has garnered 48 citations. Expanding on this, they advanced position and attitude measurement techniques for KUKA robots, achieving online error compensation with 37 citations. Shi also introduced a rapid coordinate transformation method based on characteristic line coincidence, offering a faster alternative to traditional point-cloud approaches for robot calibration (28 citations). These contributions have significantly improved the viability of industrial robots in precision tasks like aerospace assembly and machining. With a cumulative impact of over 113 citations across their top papers, Shi’s work is essential reading for researchers and engineers seeking to bridge the gap between robotic flexibility and the stringent demands of high-accuracy manufacturing. Their innovations continue to influence the development of smarter, more reliable robotic systems.