Papers
49
Total Citations
2,901
H-Index
25
About
Hamid Reza Karimi is a leading figure in the fields of networked control systems, nonlinear dynamics, and intelligent robotics. His research masterfully bridges theoretical control engineering with practical robotic applications, focusing on complex systems characterized by uncertainties, time delays, and impulsive effects. A central theme of his work is the development of advanced sliding-mode and adaptive control strategies, often leveraging Takagi-Sugeno fuzzy models to handle stochastic Markovian jumps and semi-Markovian switchings. Karimi’s contributions are highly impactful, with seminal papers on tracking control for multi-agent systems and event-triggered fuzzy sliding-mode control each garnering over 200 citations. He has also made significant strides in robotic manipulation, proposing novel frameworks for human-like redundancy optimization and incremental learning in anthropomorphic manipulators, as well as dynamic path planning using simulated annealing and artificial potential fields. His work extends to marine vehicle guidance and control, demonstrating a broad application scope. With several papers exceeding 100 citations, Karimi’s research continues to shape modern control theory and its deployment in autonomous and robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6Guidance and control methodologies for marine vehicles: A survey139 citations · 2021
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