Papers
3
Total Citations
6
H-Index
2
About
Chunlai He is a robotics researcher whose work focuses on the control and dynamics of collaborative and industrial robotic systems. His key research areas include nonlinear system control, adaptive fuzzy sliding mode control, and robot dynamics parameter identification. He has made significant contributions to improving the performance of multi-degree-of-freedom collaborative robots, which are inherently complex due to parameter uncertainties, external disturbances, and unmodeled dynamics. He developed a dual fuzzy sliding mode control approach enhanced by adaptive algorithms to stabilize six-degree-of-freedom collaborative robots, and an adaptive fuzzy sliding mode control method based on a nominal model for seven-degree-of-freedom systems. Additionally, He advanced the identification of robot dynamics parameters by integrating an improved friction model, addressing the challenges of friction and continuous trajectory tracking in follow-up bracket mechanisms. His most-cited papers, including those from 2021 and 2022, each with 2 citations, demonstrate his focused contributions to enhancing robot robustness and precision. He’s work is particularly relevant for researchers and engineers developing collaborative robots for applications requiring high accuracy and adaptability in uncertain environments.
Research Focus
Key Achievements
Top Papers
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