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About

Ayman H. Kassem is a robotics researcher whose work focuses on enabling autonomous aerial robots to perform complex, agile missions with precision and reliability. His core research areas span robust control, trajectory planning, and low-cost localization for flying robots. Kassem’s major contributions include developing a robust hybrid control framework that integrates sliding mode, geometric tracking, and other techniques to handle model uncertainties and external disturbances, achieving high-performance trajectory tracking. He also introduced a general real-time optimization framework for polynomial-based trajectory generation, allowing for numerically stable and flexible cost-function design, and a dedicated trajectory generation and optimization algorithm that produces collision-free, dynamically feasible paths for aggressive quadrotor flight. His work on a low-cost indoor positioning system using computer vision and a robotic system for simultaneous localization and mapping (SLAM) demonstrates his commitment to accessible, practical solutions. With his most cited papers accumulating over 60 citations, Kassem’s research is shaping the future of autonomous flying robots, making them more capable, robust, and deployable in uncertain environments.