Papers
2
Total Citations
4
H-Index
1
About
Congli Mei is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on the modeling, fault diagnosis, and adaptive control of robotic manipulators and precision drive mechanisms. Dr. Mei’s work addresses critical challenges in ensuring the reliability and performance of complex electromechanical systems under adverse conditions. A major contribution is the development of a novel adaptive prescribed performance control scheme for flexible-joint robotic manipulators, which simultaneously handles unknown deadzone nonlinearities and actuator faults. This work, published in 2025, introduces a smooth deadzone inverse model to mitigate actuator imperfections, representing a significant advance in robust neuro-adaptive control theory. In parallel, Dr. Mei has pioneered the use of deep belief networks for fault diagnosis in harmonic drives, specifically detecting axial movement faults by analyzing current data from the driving servomotor. This approach, detailed in a 2024 publication, offers a non-invasive, data-driven method for predictive maintenance in high-precision applications like aviation and robotics. With a growing citation record, Dr. Mei’s research is establishing new benchmarks for safe, fault-tolerant operation in next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2