Gamal El-Bayoumi
Papers
6
Total Citations
91
H-Index
5
About
Gamal El-Bayoumi is a leading researcher in autonomous aerial robotics, specializing in trajectory generation, optimization, and robust control for quadrotor UAVs. His work addresses the fundamental challenge of enabling agile, aggressive, and safe flight in uncertain and disturbed environments. El-Bayoumi’s major contributions include developing a numerically stable trajectory generation and optimization algorithm (2023, 24 citations) and a general real-time optimization framework for polynomial-based trajectory planning (2022, 18 citations), both of which ensure collision-free, dynamically feasible paths while respecting actuator and environmental constraints. He also proposed a robust hybrid control system (2021, 19 citations) that integrates sliding mode, geometric tracking, and adaptive techniques to handle model uncertainties and external disturbances. His research on adaptive optimal control for unbalanced UAVs with slung loads (2023, 12 citations) further extends the capability of aerial robots in complex payload operations. With a total of over 90 citations across his most-cited works, El-Bayoumi’s innovations are pivotal for advancing autonomous flight in real-world applications, from search-and-rescue to infrastructure inspection.
Research Focus
Key Achievements
Top Papers
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- 5Adaptive optimal controller design for an unbalanced UAV with slung load12 citations · 2023
- 6Vision-Based Road Tracking of Wheeled Mobile Robot2 citations · 2013