Yomna Youssef
Papers
1
Total Citations
2
H-Index
1
About
Yomna Youssef is a robotics researcher whose work centers on autonomous navigation in complex, unstructured environments. Her primary contribution is the development of the Passable Obstacles Aware (POA) path-planning algorithm, a novel approach that fundamentally redefines how two-wheeled robots perceive and interact with obstacles. Unlike traditional methods that treat all objects as barriers, Youssef’s algorithm intelligently classifies obstacles as either "passable" or "unpassable," enabling robots to safely traverse cluttered spaces by driving over low-lying or deformable objects rather than always going around them. This innovation directly addresses a critical bottleneck in mobile robotics—navigation in highly cluttered, real-world settings where conventional planners fail. Her 2023 paper on the POA planner, which has already garnered early citations, demonstrates the practical viability of this approach. By shifting the paradigm from obstacle avoidance to obstacle-aware traversal, Youssef’s work holds significant promise for applications in search-and-rescue, warehouse logistics, and domestic service robots. Her research represents a meaningful step toward more adaptive, intelligent, and efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1