Yi Hua

East China University of Science and Technology

Papers

Total Citations

H-Index

About

Yi Hua is a leading researcher in intelligent manufacturing and industrial robotics, with a primary focus on digital twin technology and autonomous welding systems. Their most cited work, "Digital Twin Implementation of Autonomous Planning Arc Welding Robot System" (2023, 27 citations), addresses a critical challenge in shipbuilding: replacing human welders with efficient, cost-saving industrial robots for sub-assembly welding. Hua’s major contribution lies in developing a digital twin framework that enhances welding path planning, enabling robots to operate with greater autonomy and precision. This innovation not only reduces production costs but also improves the intelligence and efficiency of robotic systems in heavy industries. By bridging the gap between virtual simulation and physical execution, Hua’s research has significant implications for smart manufacturing, particularly in sectors requiring high-accuracy, repetitive tasks. Their work is widely recognized for advancing the practical deployment of digital twins in real-world industrial settings, making them a key figure in the evolution of autonomous robotic systems.