Zahra Roozbehi
Papers
1
Total Citations
12
H-Index
1
About
Zahra Roozbehi is a robotics researcher specializing in autonomous navigation and intelligent control systems, with a particular focus on enabling mobile robots to operate safely in dynamic, unpredictable environments. Her most cited work, "Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles" (2023, 12 citations), introduces a novel framework that combines predictive modeling with neural network-based decision-making to achieve near-optimal, real-time path planning. This contribution addresses a critical gap in existing navigation techniques, which often struggle to balance computational efficiency with collision avoidance in environments with moving obstacles. Roozbehi’s approach leverages optimal control theory and machine learning to anticipate obstacle trajectories, allowing robots to adapt their paths proactively rather than reactively. Her research has significant implications for applications ranging from autonomous vehicles to warehouse logistics and service robotics. By demonstrating that neural navigators can achieve high performance without sacrificing real-time responsiveness, Roozbehi has laid important groundwork for more robust and intelligent autonomous systems. Her work continues to influence the development of adaptive navigation algorithms that prioritize both safety and efficiency.
Research Focus
Key Achievements
Top Papers
- 1