Papers
8
Total Citations
98
H-Index
6
About
Xiaoyi Jiang is a leading figure in computer vision and robotics, with a career spanning foundational geometric algorithms to modern deep learning applications. His research primarily focuses on hand-eye calibration for vision-guided robotics, object recognition through symmetry analysis, and curve morphing. Jiang’s major contributions include pioneering an error-correctable hand-eye calibration method for stripe-laser vision-guided robotics (26 citations), which has become critical for industrial automation. He also developed a simple yet efficient algorithm for determining polyhedral symmetries (21 citations), a foundational tool for 3D object recognition. His innovative approach to curve morphing using weighted mean of strings (19 citations) introduced a novel symbolic representation for 2D shape transformation. More recently, Jiang has advanced hierarchical appearance-based localization using convolutional neural networks (12 citations), bridging classical geometry with deep learning for autonomous mobile robots. His work on multisensory vision systems (6 citations) further demonstrates his commitment to intelligent robotics. With a career that elegantly combines theoretical rigor and practical impact, Jiang’s research continues to influence both academic computer vision and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2A simple and efficient algorithm for determining the symmetries of polyhedra21 citations · 1992
- 3Curve morphing by weighted mean of strings19 citations · 2003
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- 8Determining the Symmetry of Polyhedra3 citations · 1992