Ozer Ozkahraman
Ozer Ozkahraman
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Improving the modularity of auv control systems using behaviour trees
CI Sprague, Ö Özkahraman, A Munafo, R Marlow, A Phillips, P Ögren
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018
Combining Control Barrier Functions and Behavior Trees for Multi-Agent Underwater Coverage Missions
Ö Özkahraman, P Ögren
IEEE 59th Conference on Decision and Control, 2020, December 14th-18th 2020, 2020
A cyber-physical system for hydrobatic auvs: system integration and field demonstration
S Bhat, I Torroba, Ö Özkahraman, N Bore, CI Sprague, Y Xie, I Stenius, ...
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-8, 2020
A System for Autonomous Seaweed Farm Inspection with an Underwater Robot
I Stenius, J Folkesson, S Bhat, CI Sprague, L Ling, Ö Özkahraman, N Bore, ...
Sensors 22 (13), 5064, 2022
Underwater Caging and Capture for Autonomous Underwater Vehicles
Ö Özkahraman, P Ögren
Global OCEANS 2020, 2020
Efficient Navigation Aware Seabed Coverage using AUVs
Ö Özkahraman, P Ögren
2021 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2021
Collaborative Navigation-Aware Coverage in Feature-Poor Environments
Ö Özkahraman, P Ögren
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
A News Chain Evaluation Methodology along with a Lattice-based Approach for News Chain Construction
M Toprak, Ö Özkahraman, S Tekir
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017
Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles
Ö Özkahraman
KTH Royal Institute of Technology, 2023
Data-Driven Damage Detection and Control Adaptation for an Autonomous Underwater Vehicle
Ö Özkahraman, P Tajvar, DV Dimarogonas, P Ögren
2022 IEEE 61st Conference on Decision and Control (CDC), 3343-3350, 2022
Multi-Agent Control of Autonomous Surface Vehicles for Shallow Water Exploration and Depth Mapping
Ö Özkahraman
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