Guo‐Qiang Zeng

Papers

Total Citations

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About

Guo-Qiang Zeng is a researcher in advanced manufacturing and robotics, with a focus on automating complex surface finishing processes. His work addresses critical challenges in industrial robotics, particularly the time-consuming and costly nature of traditional robot programming for tasks like grinding. Zeng’s most-cited paper, “Robotic trajectory planning based on CL data” (2015, 7 citations), introduces an innovative method for automatic trajectory planning using cutter location (CL) data. This contribution streamlines robotic finishing by enabling precise, efficient path generation for complex surfaces, reducing manual intervention and improving cost-effectiveness. Though his citation count is modest, Zeng’s research holds practical significance for manufacturing industries seeking to enhance automation and productivity. His work exemplifies the integration of computational planning with robotic control, offering a foundation for further advances in intelligent manufacturing systems.