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NAME:PhD defence T.A. Karagüzel
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260520T094500
DTEND:20260520T111500
DTSTAMP:20260520T094500
UID:phd-defence-t-a-karaguzel@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260924T223548
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SUMMARY:PhD defence T.A. Karagüzel
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p><p>You are my eyes!</p>
 </p> <p>Nature offers countless examples of how individual abilities 
 can be amplified through collaboration. Birds flock together to conse
 rve energy during migration, and fish school in large groups to evade
  predators—these collective behaviors inspire our work in creating 
 autonomous UAV swarms capable of tackling complex real-world problems
 . By studying and replicating the principles of collective motion and
  emergent sensing, we explore how simple local interactions among age
 nts can lead to sophisticated group dynamics that exceed the capabili
 ties of any single robot. Our research includes a range of methods an
 d experiments, from kinematic and dynamic simulations to real-world U
 AV trials, demonstrating how these swarms can navigate, interact, and
  collaborate to achieve tasks that would be impossible individually. 
 Throughout this work, we introduce and refine methods for emergent se
 nsing within flocking autonomous robots, systematically establishing 
 the technological steps needed for their implementation. By investiga
 ting the nature of this behavior from multiple perspectives, we lay a
  robust foundation for advancing swarm robotics.</p><p>More informati
 on on the <a href="https://hdl.handle.net/1871.1/5613c49f-307e-4f70-b
 5ba-5a5c08211071" data-new-window="true" target="_blank" rel="noopene
 r noreferrer">thesis</a></p> </body> </html>
DESCRIPTION: You are my eyes! Nature offers countless examples of how 
 individual abilities can be amplified through collaboration. Birds fl
 ock together to conserve energy during migration, and fish school in 
 large groups to evade predators—these collective behaviors inspire 
 our work in creating autonomous UAV swarms capable of tackling comple
 x real-world problems. By studying and replicating the principles of 
 collective motion and emergent sensing, we explore how simple local i
 nteractions among agents can lead to sophisticated group dynamics tha
 t exceed the capabilities of any single robot. Our research includes 
 a range of methods and experiments, from kinematic and dynamic simula
 tions to real-world UAV trials, demonstrating how these swarms can na
 vigate, interact, and collaborate to achieve tasks that would be impo
 ssible individually. Throughout this work, we introduce and refine me
 thods for emergent sensing within flocking autonomous robots, systema
 tically establishing the technological steps needed for their impleme
 ntation. By investigating the nature of this behavior from multiple p
 erspectives, we lay a robust foundation for advancing swarm robotics.
 More information on the <a href="https://hdl.handle.net/1871.1/5613c4
 9f-307e-4f70-b5ba-5a5c08211071" data-new-window="true" target="_blank
 " rel="noopener noreferrer">thesis</a>
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