Latest news, competition preparations, and technical articles from our team.
Generating high-quality training data for computer vision models can be a massive bottleneck, especially for specialized drone missions. Read how we solved this for the SUAS competition using Godot 4.
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In one of the most critical stages of the competition, the "Risk Mapping" mission, we need to generate a high-resolution and flawless 2D satellite map...
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We have successfully completed 'V3 Hawk Dive,' the final architecture of our flight and target approach systems, with ArduPilot SITL and Gazebo Sim integration...
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Half of the success in autonomous UAV operations lies in the air, while the other half depends on how comfortably and quickly the operator at the ground station can control the system...
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In line with our SUAS and TEKNOFEST 2026 goals, we are continuing TULPAR-FF's field tests without slowing down. System reliability and instant fault diagnosis in autonomous flights come before everything else for us...
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By flawlessly integrating mechanical, electrical, and software subsystems in our project, we developed both a simple and highly reliable Unmanned Aerial Vehicle (UAV) platform...
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