Mohammad Jamali
Robotics Research (United States), K.N.Toosi University of Technology
Papers
2
Total Citations
6
H-Index
2
About
Mohammad Jamali is a robotics researcher whose work bridges the critical gap between theoretical dynamics and real-time control of complex mechanical systems. His primary research areas include parallel manipulators, underwater robotics, and nonlinear control systems. Jamali’s major contribution lies in developing computationally efficient solutions for forward kinematics—a traditionally heavy numerical problem—enabling real-time control implementations for parallel robots like the 3-RRS manipulator. In underwater robotics, he has advanced nonlinear-model predictive control by creating sophisticated dynamics models and parameter estimation techniques that account for the challenging behavior of ocean flows. Though his most-cited works, including the 2022 forward kinematics paper (4 citations) and the 2021 underwater dynamics study (2 citations), represent early-stage impact, they address fundamental engineering bottlenecks. His work is particularly notable for its practical orientation: rather than merely solving equations, Jamali focuses on making complex robotic systems controllable in real-world conditions. For students and researchers, his research demonstrates how combining rigorous dynamics modeling with control theory can unlock new capabilities in both industrial automation and autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2