Xinyang Guo
Papers
1
Total Citations
8
H-Index
1
About
Xinyang Guo is a leading researcher in industrial robotics, specializing in kinematic calibration, parameter identification, and error compensation to enhance robotic precision. Their most-cited work introduces an innovative approach using an Unscented Kalman Filter with adaptive process noise covariance, addressing the limitations of traditional linearization-based methods. This contribution significantly improves absolute positioning accuracy in industrial robots, a critical factor for advanced manufacturing and automation. With 8 citations already, this 2024 paper underscores Guo’s impact in advancing robotic performance through robust, real-time error correction. Their research bridges theoretical modeling and practical application, offering scalable solutions for high-precision tasks. Guo’s work is pivotal for students and engineers seeking to understand and implement state-of-the-art kinematic calibration techniques, positioning them as a key figure in the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1