Yasmine Marani
Papers
2
Total Citations
6
H-Index
2
About
Yasmine Marani is a pioneering robotics researcher whose work addresses a surprisingly underexplored challenge: motion sickness and navigation failure in drones operating within moving, GPS-denied environments. Her core research areas include nonlinear control systems, state estimation, and autonomous navigation in non-inertial frames. Marani’s major contribution is the formulation and experimental validation of a novel control strategy for drone reference tracking inside moving platforms—a problem she identified as virtually untouched in the literature. In her most-cited works, she developed a sliding mode control based Kalman filter with unknown input to enable stable flight and precise tracking when the drone’s reference frame is itself in motion. Despite the novelty and difficulty of this problem, her papers have each garnered 3 citations, marking an important foundation for future research in mobile robotics. Marani’s work is notable for bridging a critical gap between classical control theory and real-world deployment of drones on ships, trains, or other moving vehicles, offering a starting point for a new generation of autonomous systems that can operate reliably in dynamic, non-inertial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2