Jilin He
Papers
1
Total Citations
11
H-Index
1
About
Jilin He is a robotics and automation researcher whose work centers on the intersection of machine learning and precision engineering, with a particular focus on intelligent control systems for construction robotics. His most notable contribution lies in advancing positional error compensation methods for rock drilling robots — a critical challenge in modern tunnel construction. In his highly regarded 2022 study, He developed an enhanced compensation framework combining LightGBM and Radial Basis Function Networks (RBFN) to address the complex, non-linear errors inherent in heavy-load, multi-joint robotic manipulators operating across large spans. This work, which has garnered 11 citations, tackles a significant practical problem: improving the accuracy and reliability of autonomous drilling systems that reduce labor intensity and elevate construction quality in demanding underground environments. By applying sophisticated data-driven approaches to mechanical error modeling, He bridges the gap between theoretical machine learning and real-world industrial robotics. His research has meaningful implications for construction automation, mine safety, and the broader adoption of intelligent robotic systems in hazardous environments where human intervention poses significant risk.
Research Focus
Key Achievements
Top Papers
- 1