Roya Amjadifard
Papers
4
Total Citations
11
H-Index
2
About
Roya Amjadifard is a control systems researcher whose work spans nonlinear control theory, adaptive dynamic programming, and autonomous mobile robotics. With a career bridging foundational theoretical contributions and cutting-edge applications, Amjadifard has established a distinctive research identity centered on developing intelligent control strategies for complex, underactuated systems. Her early work on robust regulation of nonlinear systems using the singular perturbation approach and H∞ control laid important theoretical groundwork, demonstrating her command of advanced control methodologies for managing uncertainty and disturbances. More recently, her research focus has evolved toward adaptive dynamic programming (ADP), where she applies critic neural networks to solve challenging real-time optimization and trajectory tracking problems for wheeled mobile robots — systems notorious for their nonholonomic constraints and nonlinear dynamics. Among her most significant contributions is pioneering ADP-based control for tractor-trailer wheeled mobile robots and multi-robot interconnected systems, addressing kinematic coupling and coordination challenges that remain open problems in robotics. Her 2025 work on collision-free trajectory tracking further extends these frameworks to dynamic environments. Collectively garnering citations across venues, Amjadifard's research represents a compelling fusion of classical control theory and modern machine learning-inspired methods, offering practical solutions for next-generation autonomous robotic systems.
Research Focus
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Top Papers
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