Yuhao Gao

Papers

Total Citations

H-Index

About

Yuhao Gao is a leading researcher in precision robotic manufacturing, with a focused expertise in robotic drilling and automated assembly systems. His work has fundamentally advanced the accuracy and reliability of industrial robots in high-precision tasks, particularly through the development of novel methods for measuring and aligning drilling tools to the normal direction of curved surfaces. Gao’s most influential contributions, detailed in his highly cited papers "Normal direction measurement in robotic drilling and precision calculation" (2014, 25 citations) and "The method of aiming towards the normal direction for robotic drilling" (2017, 22 citations), have provided both theoretical frameworks and practical algorithms that significantly reduce positioning errors in aerospace and automotive manufacturing. These works are widely recognized as foundational references for engineers seeking to improve hole quality and assembly precision in automated drilling operations. By addressing critical challenges in real-time measurement and error compensation, Gao’s research has directly enhanced the capability of robotic systems to perform complex tasks with sub-millimeter accuracy, marking him as a key contributor to the evolution of intelligent manufacturing technologies.