Papers
5
Total Citations
26
H-Index
3
About
Ahmad Bani Younes is a robotics and control systems researcher whose work focuses on the safe and intelligent navigation of unmanned aerial vehicles (UAVs) in complex, dynamic environments. His primary contributions lie in developing real-time motion planning systems that enable drones to autonomously avoid collisions in three-dimensional space. His most cited paper, “Motion planning of unmanned aerial vehicles in dynamic 3D space: a potential force approach” (2022, 10 citations), introduces a novel generalized potential force function for collision-free path planning, a critical advancement for UAV operations in heterogeneous settings. Expanding on this, his 2023 work on a fuzzy motion planning system (8 citations) demonstrates a robust, adaptive approach to real-time navigation. Younes also addresses system reliability through fault tolerance control for quad-rotor UAVs using gain-scheduling, validated in a Matlab/Gazebo environment. His broader expertise includes robust sound detection and localization for robotics, as well as advanced sliding mode control for robotic manipulators under noisy conditions. With a growing citation record, Younes’s research is shaping the future of autonomous aerial systems, making drones safer and more capable in real-world applications.
Research Focus
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Top Papers
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