| 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 | 50 | 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 | 25 | 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 | 19 | 2022 |
| 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 | 18 | 2020 |
| Efficient Navigation Aware Seabed Coverage using AUVs Ö Özkahraman, P Ögren 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2021 | 7 | 2021 |
| Underwater Caging and Capture for Autonomous Underwater Vehicles Ö Özkahraman, P Ögren Global OCEANS 2020, 2020 | 6* | 2020 |
| Collaborative Navigation-Aware Coverage in Feature-Poor Environments Ö Özkahraman, P Ögren 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 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 | 1 | 2017 |
| Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles Ö Özkahraman KTH Royal Institute of Technology, 2023 | | 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 | | 2022 |
| Multi-Agent Control of Autonomous Surface Vehicles for Shallow Water Exploration and Depth Mapping Ö Özkahraman | | 2017 |
Petter ÖgrenProfessor in Computer Science and Mobile Systems, KTH (division of Robotics, Perception and LearningBestätigte E-Mail-Adresse bei kth.se
