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@@ -193,6 +193,49 @@ <h5 class="tasty_text">Field Robotics Laboratory</h5>
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<div class="about_taital"><a id="news" name="news">NEWS</a></div>
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<div class="duyuru-kutusu">
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<div class="duyuru">
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<img src="images/clock.png" width="12" height="12" scale="0">
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<span class="duyuru-tarih">September 25, 2026</span>
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<h4 class="duyuru-baslik">[Paper] Nonprioritized Motion Planning for USVs Published in IEEE Journal of
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Oceanic Engineering</h4>
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<p class="duyuru-aciklama">
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We are pleased to announce the publication of our paper
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<strong>“Nonprioritized Motion Planning for Autonomous Uncrewed Surface Vehicles in Maritime
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Environments”</strong>
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in the IEEE Journal of Oceanic Engineering, authored by Mustafa Bayrak and Haluk Bayram.
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<br><br>
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This study presents the nonprioritized motion planning (NPMP) approach, a COLREGs-compliant path
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planning algorithm that lets an autonomous uncrewed surface vehicle (USV) avoid encounters with
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crewed ships in advance instead of only avoiding collisions. When an encounter cannot be avoided,
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the USV still follows COLREGs to prevent a collision. Across 80 simulated scenarios with varying
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numbers of ships and paths, the USV using NPMP had fewer encounters with crewed ships and kept
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longer distances from them than a COLREGs-compliant baseline.
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<br><br>
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Read the article <a href="https://ieeexplore.ieee.org/abstract/document/11705406">here.</a>
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</p>
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</div>
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<div class="duyuru">
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<img src="images/clock.png" width="12" height="12" scale="0">
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<span class="duyuru-tarih">September 23, 2026</span>
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<h4 class="duyuru-baslik">[Project] Approval Granted for TUBITAK 1005 Project</h4>
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<p class="duyuru-aciklama">
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Our TÜBİTAK 1005 National Research Support Programme for New Ideas and Products project titled
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"Satellite, Topographic Data, and UAV-Assisted Motion Planning for Autonomous Ground Vehicles in
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Off-Road Conditions" has been approved. The project, led by Principal Investigator Assoc. Prof.
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Haluk Bayram from Istanbul Medeniyet University, will be carried out by the Field Robotics
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Laboratory.
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<br><br>
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The project will build a global cost map of terrain slope and drivability risk from satellite
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imagery and elevation data, update it online with the vehicle's camera, LiDAR and IMU data, and use
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UAV observations where satellite data falls short. The resulting motion planning system will be
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tested on a real ground vehicle in the field.
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<br><br>
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Congratulations to the project team: Asiye Demirtaş, Erdal Alimovski, Mustafa Bayrak, Özgür Erkent,
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and Haluk Bayram.
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</p>
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</div>
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<div class="duyuru">
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<img src="images/clock.png" width="12" height="12" scale="0">
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<span class="duyuru-tarih">August 26, 2026</span>

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