Yinghao Gao
Papers
2
Total Citations
32
H-Index
2
About
Yinghao Gao is a researcher focused on advancing robotic machining, particularly for large-part manufacturing. His work centers on understanding how process parameters and robot postures influence surface quality—a critical challenge in precision engineering. Gao’s most cited paper, “Influence of process parameters and robot postures on surface quality in robotic machining” (2022), has garnered 28 citations, highlighting its impact on the field. In this study, he systematically investigates how ball-end milling is affected by both cutting conditions and the robot’s posture-dependent performance, addressing a key gap in robotic machining research. By linking posture variability to surface finish, Gao’s contributions help optimize robotic systems for higher precision and efficiency, with implications for aerospace, automotive, and other industries requiring large-scale machining. His work underscores the importance of integrating robot kinematics with process control, offering practical insights for engineers and researchers. With growing recognition, Gao’s research continues to shape the future of automated manufacturing, making him a notable figure in robotic machining and process optimization.
Research Focus
Key Achievements
Top Papers
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