Papers
3
Total Citations
45
H-Index
3
About
Nilay Sezer‐Uzol is a leading researcher in swarm robotics and bio-inspired navigation, whose work bridges computational fluid dynamics and autonomous multi-agent systems. Her primary contributions lie in developing collision-free navigation algorithms for robot swarms by adapting potential flow theory and panel methods—techniques traditionally used in aerodynamics—to robotic path planning. In her most-cited work, “Implementation Studies of Robot Swarm Navigation Using Potential Functions and Panel Methods” (2016, 37 citations), she demonstrated how inviscid, incompressible flow equations can generate flowlines around complex obstacles, providing smooth, collision-free trajectories for robot teams. Her earlier experimental studies (2010) validated these concepts in real-world settings, equipping robots with laser scanners to detect obstacles and compute real-time panel method solutions. Sezer‐Uzol’s innovative cross-disciplinary approach has made her a notable figure in swarm intelligence, offering a mathematically elegant and practically implementable solution for multi-robot coordination in cluttered environments. Her work continues to inspire researchers seeking to merge classical fluid dynamics with modern robotics.
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