Firas Abedi
Papers
1
Total Citations
36
H-Index
1
About
Firas Abedi is a leading researcher in robotics and control systems, with a primary focus on advancing the trajectory tracking and motion control of mobile robots. His most notable contribution is the development of a novel nonlinear neural network fractional-order proportional-integral-derivative (NNFOPID) controller for differential drive mobile robots (DDMRs), published in 2022. This work, which has garnered 36 citations, introduces an innovative approach by integrating fractional-order calculus with neural network tuning, optimized through an enhanced fruit fly optimization algorithm. Abedi’s research significantly improves the precision, stability, and adaptability of autonomous robot navigation in complex environments. By combining intelligent optimization techniques with advanced control theory, he has addressed critical challenges in real-time trajectory tracking, making his work highly influential in the fields of mechatronics and autonomous systems. His achievements are particularly relevant for students and researchers exploring the intersection of soft computing, fractional-order control, and mobile robotics, offering a robust framework for future innovations in autonomous vehicle and robotic platform design.
Research Focus
Key Achievements
Top Papers
- 1