Papers
1
Total Citations
4
H-Index
1
About
X. Guo is a researcher in robotics and precision engineering, with a primary focus on the kinematic calibration and accuracy enhancement of serial robotic manipulators. Their most significant contribution is the development of a novel separation and calibration method for 6R tandem robotic arms, which leverages binocular vision and standard spheres to dramatically improve absolute positioning accuracy. By establishing a geometric error mapping model and intelligently dividing error parameters, Guo’s work addresses a critical bottleneck in industrial robotics—the gap between theoretical models and real-world performance. Although early in their citation trajectory, with their 2023 flagship paper already garnering 4 citations, this work represents a foundational step toward high-precision automation. Guo’s research is particularly valuable for applications in manufacturing, assembly, and autonomous systems where millimeter-level accuracy is essential. Their approach offers a practical, cost-effective solution for upgrading existing robotic systems, positioning them as an emerging voice in the field of robot metrology and calibration.
Research Focus
Key Achievements
Top Papers
- 1