Chaochao Jin
Papers
2
Total Citations
12
H-Index
2
About
Chaochao Jin is a researcher specializing in precision robotics, with a focus on error compensation and calibration for heavy-duty industrial manipulators. His work addresses a critical limitation in traditional robot calibration: while most methods correct only geometric errors from inaccurate kinematic parameters, Jin’s research targets the non-geometric errors that degrade accuracy during long-stroke, heavy-load tasks. His most-cited paper (2021, 8 citations) introduces a semi-analytical beam deformation model combined with Gaussian Process Regression to compensate for these errors in Cartesian robots, offering a generalized solution for demanding industrial applications. In a related study (2020, 4 citations), he proposed a hybrid analytical and data-driven approach that bridges the gap between physical modeling and machine learning, enhancing absolute positioning accuracy without relying solely on kinematic parameter identification. Though early in his career, Jin’s contributions are gaining traction, providing a practical pathway to improve precision in automation and manufacturing. His work is particularly valuable for researchers and engineers tackling real-world challenges in heavy-duty robotics, where even small errors can impact performance.
Research Focus
Key Achievements
Top Papers
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