Makhabbat Zhamuratova
Papers
1
Total Citations
2
H-Index
1
About
Makhabbat Zhamuratova is a researcher focused on the intersection of control systems and robotics, with a particular emphasis on the mathematical modeling and optimization of mobile robot motion. Her most-cited work, "Mathematical Modeling of a Mobile Robot's Motion Control System based on LQR" (2024), introduces a sophisticated approach to stabilizing and guiding autonomous robots using Linear Quadratic Regulator (LQR) techniques. This contribution is critical for enhancing the precision and adaptability of mobile robots, which are increasingly deployed in complex, multi-functional roles across industries such as logistics, manufacturing, and service automation. With 2 citations in its early publication stage, this paper signals growing interest in her method for improving robot autonomy. Zhamuratova’s research addresses the pressing need for universal robots capable of performing diverse tasks simultaneously, advancing the field’s capacity for efficient, real-time control. Her work is particularly valuable for students and engineers seeking robust, mathematically grounded solutions to motion control challenges, positioning her as an emerging voice in the development of next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1