Yunes Alqudsi
Papers
14
Total Citations
322
H-Index
9
About
Yunes Alqudsi is an emerging researcher whose work sits at the intersection of autonomous aerial robotics, swarm intelligence, and advanced control systems. His research has made significant contributions to two interconnected domains: the coordination and control of UAV swarms, and the development of robust trajectory generation and optimization frameworks for autonomous flying robots. Alqudsi's most influential work, "UAV Swarms: Research, Challenges, and Future Directions" (2025, 123 citations), has rapidly established itself as a key reference in the field, reflecting the timeliness and breadth of his swarm robotics expertise. Alongside several comprehensive review papers on swarm flying robots, he has helped map the evolving landscape of this interdisciplinary field for researchers and engineers alike. On the control and planning side, Alqudsi has developed numerically stable trajectory optimization algorithms, real-time polynomial-based planning frameworks, and hybrid controllers that combine sliding mode and geometric tracking techniques to achieve robust performance under uncertainty and disturbance — work that has collectively garnered nearly 90 citations across multiple publications. With over 280 total citations and a growing body of work addressing path planning, metaheuristic optimization, and multi-robot coordination, Alqudsi represents a promising voice in the future of intelligent autonomous aerial systems.
Research Focus
Key Achievements
Top Papers
- 1UAV swarms: research, challenges, and future directions123 citations · 2025
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