Ozer Ozkahraman
Scholar

Ozer Ozkahraman

Google Scholar ID: Su1PEecAAAAJ
KTH
multi-agent systemsroboticsmachine learning
Citations & Impact
All-time
Citations
178
 
H-index
5
 
i10-index
4
 
Publications
14
 
Co-authors
4
list available
Publications
14 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • No specific academic achievements are listed.
Research Experience
  • Currently, he works as a postdoctoral researcher at the division of Robotics, Perception and Learning (RPL) under the supervision of Ivan Stenius and John Folkesson. He is involved in the development of several underwater vehicles such as LoLo, SAM, and Evolo. His current project is the multi-domain simulation and C2 interface SMaRCSim.
Education
  • He completed his PhD at RPL under the supervision of Petter Ogren, focusing on large-scale multi-agent coverage planning for autonomous underwater vehicles (AUVs).
Background
  • He is a postdoctoral researcher at the division of Robotics, Perception and Learning (RPL) at KTH. His research interests include large-scale multi-agent coverage planning, mission planning and execution for autonomous underwater vehicles (AUVs), simulation, and interaction with flying vehicles.
Miscellany
  • He is always looking for more hands to add more features.