Xiaohui Lu

Zhejiang University, Changchun University of Technology, South China University of Technology

Papers

Total Citations

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About

Xiaohui Lu is a leading researcher in intelligent robotic systems, with a focus on advanced manufacturing and autonomous navigation. Her work bridges the gap between theoretical control algorithms and practical industrial applications, particularly in high-precision material processing and automated vehicle guidance. Lu’s most impactful contribution is her 2023 study on predictive modeling for robotic belt grinding of complex blades, which has garnered 18 citations and addresses a critical challenge in transitioning from manual to digital grinding for intricate workpieces. This research highlights her expertise in optimizing material removal characteristics through data-driven approaches. Additionally, her 2020 paper on model predictive control (MPC)-based path tracking for automatic guided vehicles (AGVs), with 14 citations, demonstrates her ability to enhance autonomous navigation in dynamic environments using robot operating systems (ROS). Lu has also explored niche applications, such as her 2018 work on optimal trajectory control for underwater welding robots, which improves motion precision in harsh conditions. With a growing citation record and a focus on real-world impact, Lu is recognized for advancing robotic autonomy in manufacturing, logistics, and extreme environments, making her a notable figure in the field of intelligent robotics.