Zilola Yusupova
Papers
1
Total Citations
2
H-Index
1
About
Zilola Yusupova is a rising figure in robotics and nonlinear control systems, whose work focuses on solving fundamental challenges in robot manipulator dynamics and trajectory tracking. Her most-cited paper, "Global Trajectory Tracking Control of a Four-Link Robot Manipulator without Velocity Measurements" (2022), addresses a critical problem in industrial and service robotics: achieving precise motion control when velocity sensors are unavailable or unreliable. By leveraging the Euler-Lagrange dynamic model, she designed a controller that globally stabilizes desired trajectories for serial four-link manipulators, eliminating the need for velocity feedback—a significant advancement for cost-effective and robust robotic systems. Though her citation count is currently modest (2 citations), her work demonstrates deep technical rigor and practical relevance, particularly for applications in manufacturing, prosthetics, and autonomous systems. Yusupova’s contributions stand at the intersection of theoretical control design and real-world robotics, offering solutions that reduce hardware complexity while maintaining high performance. Her research is especially valuable for students and engineers seeking to understand how nonlinear control theory can be applied to multi-link manipulators without reliance on expensive sensors.
Research Focus
Key Achievements
Top Papers
- 1