Papers
1
Total Citations
7
H-Index
1
About
Peiyang Gao is a researcher whose work centers on advancing robotic precision manufacturing, with a particular focus on intelligent grinding and surface processing technologies. His key contributions lie in developing methods for target force tracking and automatic contour surface processing in industrial robots, addressing critical challenges in material removal consistency. Gao’s research tackles the persistent problem of large instantaneous contact forces during grinding tool engagement, proposing innovative control strategies to enhance process stability and surface quality. While his most-cited paper, "Target Force Tracking and Automatic Contour Surface Processing in Grinding of Industrial Robots" (2020), has garnered 7 citations, its impact is notable for laying foundational work in force-controlled robotic machining—a niche but industrially vital area. His studies emphasize the importance of constant grinding force for uniform material removal, offering practical solutions to improve automation reliability. Gao’s work is particularly relevant for researchers in robotics, manufacturing engineering, and precision control, bridging the gap between theoretical force control and real-world industrial application.
Research Focus
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Top Papers
- 1