Jiaxun Yu

Huazhong University of Science and Technology, Hubei University of Technology

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About

Jiaxun Yu is a robotics researcher whose work focuses on advancing industrial automation through improved robotic manipulation and control. Their primary research areas include robotic grinding, force control, and kinematic analysis for manufacturing applications. Yu’s most significant contribution is in addressing the critical challenge of maintaining consistent grinding force during robotic material removal—a problem that directly impacts product quality and process reliability. Their 2020 paper on target force tracking and automatic contour surface processing (7 citations) tackles the practical shortcomings of existing methods, particularly the large instantaneous contact forces that occur when grinding tools first engage with a workpiece. This work has implications for improving consistency in industrial finishing operations. Yu also contributed to foundational robotics analysis with their 2017 study on inverse kinematics for six-degree-of-freedom manipulators (4 citations), where they used MATLAB’s Robotics Toolbox to model and solve complex joint-space trajectory planning problems. By combining practical force control strategies with rigorous kinematic modeling, Yu’s research bridges the gap between theoretical robotics and real-world manufacturing challenges, offering solutions that enhance both the precision and safety of automated grinding systems.