Xianghua Fan

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Xianghua Fan has made foundational contributions to the field of robot vision, with a particular focus on hand-eye coordination and self-calibration techniques. Her most cited work, "Application of a hand-eye self-calibration technique in robot vision" (2013), addresses a critical challenge in robotics: enabling robotic systems to accurately perceive and interact with their environment without manual recalibration. In this study, Fan re-formulated the mathematical model of hand-eye vision positioning systems and applied an improved version of Lei’s method to the MOTOMAN-SV3X robot vision platform. By analyzing and enhancing the self-calibration approach from a new perspective, she demonstrated how robots can autonomously align their visual and manipulative components, significantly improving precision in automated tasks. This work has garnered 7 citations, reflecting its practical relevance in industrial robotics and computer vision. Fan’s research bridges theoretical modeling and real-world application, offering valuable insights for students and engineers working on autonomous systems, calibration algorithms, and vision-guided robotics. Her contributions continue to inform advancements in robot autonomy and sensor integration.