Mahsa Kheirandish
Papers
1
Total Citations
2
H-Index
1
About
Mahsa Kheirandish’s research centers on the control and identification of autonomous robotic systems, with a particular focus on wheeled mobile robots operating under real-world constraints. Her most cited work, "Finite Time Identification and Adaptive Robust Tracking Control of wheeled Mobile Robot with Constraint in Inputs," addresses a critical challenge in robotics: achieving precise trajectory tracking despite unknown, time-varying parameters and input limitations. In this study, she modeled a three-wheeled mobile robot with three degrees of freedom and developed a finite-time identification algorithm that enables the system to rapidly and accurately estimate its own dynamics. Building on this, she designed an adaptive robust tracking controller that ensures stable, reliable performance even under input saturation. While her citation count is currently modest, her contributions are technically significant, offering a rigorous framework for real-time adaptation and control in non-ideal conditions. This work is particularly valuable for researchers developing autonomous ground vehicles for applications like logistics, inspection, or exploration, where robustness and fast convergence are essential. Kheirandish’s approach bridges theoretical control theory and practical implementation, marking her as a promising voice in the field of mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1