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About

Yonghao Guo is a researcher specializing in robotics, motion planning, and precision control, with a particular focus on NURBS (Non-Uniform Rational B-Spline) curve interpolation for industrial applications. His major contributions lie in developing near-time optimal feedrate strategies that balance speed and accuracy under interpolation error constraints, significantly improving the smoothness and efficiency of robotic motion. His 2023 paper on this topic, with 16 citations, has become a key reference for researchers working on high-precision trajectory generation. In 2024, he advanced this work with a NURBS curve interpolation strategy tailored for industrial robots, earning 11 citations for its practical impact on reducing vibration and enhancing path accuracy. Guo also contributed to the evaluation of lower-mobility hybrid robots, proposing a rapid performance assessment method based on gravity-center position modeling—a tool that aids in manipulator design and optimization. Though earlier in his career, his citation trajectory and focus on bridging theoretical motion planning with real-world robotic constraints mark him as an emerging authority in advanced manufacturing and robotics control.