Mohammad Razeghi-Jahromi
Papers
1
Total Citations
39
H-Index
1
About
Mohammad Razeghi-Jahromi is a leading researcher in robotics and autonomous systems, with a primary focus on trajectory tracking, control theory, and optimization for nonholonomic vehicles. His most notable contribution is the development of a stable analytical solution method for car-like robot trajectory tracking, which guarantees global exponential stability of tracking errors—a significant advance over traditional numerical approaches. This work, published in 2020, has already garnered 39 citations, reflecting its impact on the field. By formulating the tracking problem as an optimization of error dynamics, Razeghi-Jahromi has provided a robust framework that enhances both the precision and reliability of autonomous navigation. His research bridges theoretical control methods with practical applications in mobile robotics, offering solutions that are computationally efficient and mathematically rigorous. This achievement underscores his role in advancing the state of the art for autonomous vehicle control, making his work essential reading for students and researchers interested in real-time trajectory optimization and stable robotic motion.
Research Focus
Key Achievements
Top Papers
- 1