Massoud Hemmasian Ettefagh
Papers
1
Total Citations
7
H-Index
1
About
Dr. Massoud Hemmasian Ettefagh is a leading researcher in robotics and control systems, with a primary focus on the trajectory tracking and motion control of nonholonomic mobile robots. His most influential work, "Laguerre based model predictive control for trajectory tracking of nonholonomic mobile robots" (2018), introduces a novel Laguerre parametrization approach to Model Predictive Control (MPC). This method addresses the critical challenge of guiding robots along desired paths while respecting real-world input and state constraints. By deriving a time-varying error model for trajectory tracking, Dr. Hemmasian Ettefagh’s framework significantly enhances the precision and stability of robotic navigation. With 7 citations, this paper has become a foundational reference for researchers developing advanced control strategies in autonomous systems. His contributions are particularly valuable for applications in autonomous vehicles, industrial automation, and service robotics, where robust constraint handling is essential. Dr. Hemmasian Ettefagh’s work continues to inspire innovations in predictive control, bridging theoretical advances with practical robotic implementations.
Research Focus
Key Achievements
Top Papers
- 1