Maoyun Yao

Papers

Total Citations

H-Index

About

Maoyun Yao’s research focuses on the intersection of robotics and precision manufacturing, with a particular emphasis on automated grinding and surface finishing processes. His most notable contribution is the development of a hybrid position/force control method for robotic skateboard edge grinding, integrating a pneumatic constant force grinding device. This work addresses a critical challenge in industrial automation: achieving consistent material removal without relying on complex active compliance algorithms. By decoupling position and force control, Yao’s approach simplifies robotic grinding tasks, enhancing both efficiency and surface quality. While his 2021 paper has garnered 2 citations to date, it represents a foundational step toward cost-effective, adaptive robotic systems for abrasive applications. Yao’s research is particularly relevant for industries seeking to automate labor-intensive finishing operations, from skateboard manufacturing to broader metal and composite edge processing. His work demonstrates a practical engineering mindset, prioritizing robust, implementable solutions over theoretical complexity. For students and researchers in robotics and manufacturing, Yao’s contributions offer a clear example of how hybrid control strategies can bridge the gap between academic research and real-world industrial needs.