Yuezhi Liu

Papers

Total Citations

H-Index

About

Yuezhi Liu is a researcher in advanced manufacturing and robotics, with a primary focus on precision machining and surface finishing technologies. Their most notable work addresses the challenge of automating complex finishing processes, particularly through the development of path planning algorithms for robotic polishing of sheet metal parts. This 2022 study, which has garnered 12 citations, introduces innovative methods to optimize tool trajectories, ensuring uniform material removal and surface quality while minimizing cycle time—a critical advancement for industries like automotive and aerospace where sheet metal components require high-precision finishes. Liu’s contributions lie at the intersection of robotics, control systems, and manufacturing engineering, offering practical solutions to automate labor-intensive tasks. By integrating geometric modeling with real-time adaptive strategies, their work enhances both efficiency and consistency in robotic polishing, reducing human error and production costs. While early in their career, Liu’s research has already demonstrated tangible impact, providing a foundation for future studies in intelligent manufacturing. Their work is particularly valuable for researchers and engineers seeking to bridge the gap between theoretical robotics and industrial application, paving the way for smarter, more autonomous production lines.