Xuhong Chen

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About

Xuhong Chen is a leading researcher in the field of robotic precision and kinematic calibration, with a focused expertise on enhancing the absolute positioning accuracy of industrial manipulators. His work directly addresses a critical bottleneck in advanced manufacturing: the gap between a robot’s theoretical trajectory and its real-world performance. Chen’s major contribution lies in developing novel, computationally efficient compensation methods that correct for joint errors without requiring expensive, high-precision hardware. His most impactful work, "Enhancing the absolute positioning accuracy of welding robots based on joint error compensation" (2025), has already garnered 6 citations, signaling its rapid adoption by the robotics community. In a foundational study, "Robot 10 parameter compensation method based on Newton–Raphson method" (2023, 3 citations), Chen introduced a groundbreaking kinematic calibration procedure that achieves indirect compensation of 25 MDH parameters using a streamlined 10-parameter model. This method, which leverages the Newton–Raphson algorithm, offers a practical and powerful solution for improving robot accuracy in demanding applications like automated welding. Chen’s work is notable for bridging complex theoretical modeling with real-world industrial implementation, making him a key figure in the evolution of precision robotics.