BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN
NAME:PhD defence T.A. Karagüzel
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260520T094500
DTEND:20260520T111500
DTSTAMP:20260520T094500
UID:2026/phd-defence-t-a-karaguzel@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260615T134944
LOCATION:(1st floor) Auditorium, Main building De Boelelaan 1105 1081 HV Amsterdam
SUMMARY:PhD defence T.A. Karagüzel
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p>You are my eyes!</p> <p
 >Nature offers countless examples of how individual abilities can be 
 amplified through collaboration. Birds flock together to conserve ene
 rgy during migration, and fish school in large groups to evade predat
 ors—these collective behaviors inspire our work in creating autonom
 ous UAV swarms capable of tackling complex real-world problems. By st
 udying and replicating the principles of collective motion and emerge
 nt sensing, we explore how simple local interactions among agents can
  lead to sophisticated group dynamics that exceed the capabilities of
  any single robot. Our research includes a range of methods and exper
 iments, from kinematic and dynamic simulations to real-world UAV tria
 ls, demonstrating how these swarms can navigate, interact, and collab
 orate to achieve tasks that would be impossible individually. Through
 out this work, we introduce and refine methods for emergent sensing w
 ithin flocking autonomous robots, systematically establishing the tec
 hnological steps needed for their implementation. By investigating th
 e nature of this behavior from multiple perspectives, we lay a robust
  foundation for advancing swarm robotics.</p><p>More information on t
 he <a href="https://hdl.handle.net/1871.1/5613c49f-307e-4f70-b5ba-5a5
 c08211071" data-new-window="true" target="_blank" rel="noopener noref
 errer">thesis</a></p> </body> </html>
DESCRIPTION: Nature offers countless examples of how individual abilit
 ies can be amplified through collaboration. Birds flock together to c
 onserve energy during migration, and fish school in large groups to e
 vade predators—these collective behaviors inspire our work in creat
 ing autonomous UAV swarms capable of tackling complex real-world prob
 lems. By studying and replicating the principles of collective motion
  and emergent sensing, we explore how simple local interactions among
  agents can lead to sophisticated group dynamics that exceed the capa
 bilities of any single robot. Our research includes a range of method
 s and experiments, from kinematic and dynamic simulations to real-wor
 ld UAV trials, demonstrating how these swarms can navigate, interact,
  and collaborate to achieve tasks that would be impossible individual
 ly. Throughout this work, we introduce and refine methods for emergen
 t sensing within flocking autonomous robots, systematically establish
 ing the technological steps needed for their implementation. By inves
 tigating the nature of this behavior from multiple perspectives, we l
 ay a robust foundation for advancing swarm robotics. More information
  on the <a href="https://hdl.handle.net/1871.1/5613c49f-307e-4f70-b5b
 a-5a5c08211071" data-new-window="true" target="_blank" rel="noopener 
 noreferrer">thesis</a> You are my eyes!
END:VEVENT
END:VCALENDAR
