Mohammad Hasan Ghasemi
Babol University of Medical Sciences, Mazandaran University of Science and Technology
Papers
3
Total Citations
43
H-Index
3
About
Mohammad Hasan Ghasemi is a robotics researcher whose work centers on the optimal control and trajectory planning of robot manipulators. His primary contributions lie in developing advanced methods to achieve time-optimal motion while respecting critical physical constraints. In his most cited work (2011, 32 citations), Ghasemi introduced an indirect, iterative approach for point-to-point robot control that simultaneously respects limits on actuator torques and actuator jerks—a significant step toward smoother, faster, and more practical robotic motions. He extended this line of research to redundant manipulators and closed-chain systems, proposing near time-optimal control along specified paths under jerk constraints (2011, 7 citations). More recently, Ghasemi has explored robust control strategies, designing an interval type-2 fuzzy logic controller to handle perturbations and parametric uncertainties in robotic manipulators (2019, 4 citations). His work bridges theoretical optimal control with real-world robotic applications, addressing the trade-offs between speed, precision, and safety. For students and researchers, Ghasemi’s research offers valuable insights into how rigorous optimization techniques can be adapted to the complexities of physical robotic systems.
Research Focus
Key Achievements
Top Papers
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