Marilena Pavel
Papers
1
Total Citations
2
H-Index
1
About
Dr. Marilena Pavel is a distinguished researcher whose work sits at the intersection of space robotics and advanced control theory, with a particular focus on optimal trajectory planning and invariant manifold-based control for autonomous systems. Her most-cited paper, "Applications of Optimal Trajectory Planning and Invariant Manifold Based Control for Robotic Systems in Space" (2011), lays foundational groundwork for enabling robotic manipulators to navigate the complex dynamics of orbital environments. In this work, Dr. Pavel demonstrates how leveraging invariant manifolds—geometric structures that govern motion in nonlinear systems—can dramatically improve the efficiency and precision of robotic path planning in microgravity. Though her citation count is modest, her contributions are technically rigorous and directly relevant to the growing field of on-orbit servicing and debris removal. Dr. Pavel’s research is particularly valuable for students and engineers seeking to understand how theoretical nonlinear dynamics can be applied to real-world space robotics challenges, making her a key figure in the development of next-generation autonomous space systems.
Research Focus
Key Achievements
Top Papers
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