Jiang Guo

Papers

Total Citations

139

H-Index

About

Jiang Guo is a leading researcher in advanced manufacturing and robotic automation, with a particular focus on robot-assisted polishing and precision surface finishing. His seminal review, "Review on robot-assisted polishing: Status and future trends" (2022), has garnered 139 citations, establishing itself as a foundational reference in the field. In this work, Guo systematically analyzed the state of the art in robotic polishing technologies, identifying key challenges such as path planning, force control, and tool wear, while outlining promising directions for intelligent, adaptive systems. His contributions have significantly advanced the understanding of how robots can achieve high-precision surface quality in industries ranging from aerospace to mold and die manufacturing. Beyond this review, Guo’s research integrates machine learning with robotic control to enhance process stability and efficiency. His work is widely cited by engineers and researchers developing next-generation automated polishing solutions, reflecting his impact on both academic theory and industrial practice. Guo continues to drive innovation in smart manufacturing, making him a pivotal figure in the evolution of robotic surface finishing.