Xinyi Jiang
Papers
3
Total Citations
15
H-Index
2
About
Xinyi Jiang is a robotics researcher whose work centers on the precision and reliability of industrial robots, with a particular focus on kinematic calibration and accuracy enhancement. Their research addresses one of the most pressing challenges in advanced manufacturing: improving the absolute positional accuracy of serial industrial robots, which is critical for applications demanding high repeatability and precision. Jiang's most significant contributions include developing error model-based kinematic parameter calibration techniques using partial pose measurement, accumulating 8 citations, and pioneering a continuous kinematic calibration framework built on recursive least squares algorithms — a novel approach designed to combat the gradual accuracy degradation that persists even after initial calibration. This work, already attracting 5 citations shortly after its 2025 publication, represents a meaningful step toward long-term accuracy maintenance in deployed robotic systems. Additionally, Jiang has proposed a joint position-sensitive virtual tool transformation fitting method, offering a practical pathway to further pose accuracy improvements. Collectively, these contributions reflect a coherent and technically rigorous research program aimed at bridging the gap between theoretical robot modeling and real-world manufacturing performance, making Jiang's work highly relevant to engineers and researchers advancing intelligent, precision-driven automation systems.
Research Focus
Key Achievements
Top Papers
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