Arash Mousaei
Papers
1
Total Citations
8
H-Index
1
About
Arash Mousaei is a researcher specializing in nonlinear control systems, with a particular focus on robust control strategies for underactuated robotic platforms. His most-cited work, "Robust Sliding Mode Control for Two-Wheel Robot Without Kinematic Equations" (2023, 8 citations), addresses a critical challenge in mobile robotics: maintaining balance and stability in two-wheeled systems despite dynamic uncertainties. Mousaei’s key contribution lies in developing a sliding mode control framework that operates independently of kinematic equations—a novel approach that simplifies implementation while enhancing robustness against model inaccuracies and external disturbances. By transferring the system’s dynamic equations into an error space, his method ensures reliable performance even when traditional kinematic models are unavailable or unreliable. This work has practical implications for the design of self-balancing robots, personal transporters, and agile mobile platforms. Though his citation count is still growing, Mousaei’s research stands out for its theoretical rigor and direct applicability to real-world robotic systems, making him a promising voice in the field of robust nonlinear control.
Research Focus
Key Achievements
Top Papers
- 1