Fateme Bakhshande
Papers
1
Total Citations
6
H-Index
1
About
Fateme Bakhshande is a robotics and control systems researcher whose work focuses on the challenging dynamics of nonholonomic systems—vehicles and robots that cannot move in arbitrary directions, such as cars or differential-drive platforms. Her most cited paper, “Feedback error learning control of trajectory tracking of nonholonomic mobile robot” (2012, 6 citations), introduces a novel control architecture that fuses sliding mode control with adaptive feedback error learning. This hybrid approach simultaneously stabilizes the robot’s nonholonomic constraints and adapts to uncertainties in real time, offering a robust solution for precise trajectory tracking. By combining the strengths of nonlinear and adaptive controllers, Bakhshande’s work addresses a fundamental problem in mobile robotics: how to make underactuated systems follow desired paths reliably despite model inaccuracies and disturbances. Her contributions are particularly valuable for autonomous navigation and field robotics, where wheeled robots must operate in unpredictable environments. While her citation count reflects a focused, early-career impact, the technical depth of her controller design has informed subsequent studies on learning-based control for constrained mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1