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Maya Kundakci
Junior Robotics & Controls Engineer specializing in autonomous navigation and UAV systems
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About
Robotics software engineer with extensive ROS2 experience building and integrating full autonomous navigation stacks (sensor fusion, ICP/occupancy-grid mapping, planning). Hands-on computer vision work for drones, including monocular depth-from-RGB pipelines (Open3D/OpenCV) and model swaps to improve low-light performance. Also experienced in multi-drone coordination with Crazyswarm2 and Vicon-based state estimation, plus Gazebo simulation for TurtleBot, Franka Emika, and a Lunabotics-style excavation rover.
Experience
Education
Key Strengths
- Integrated monocular camera calibration with deep-learning depth pipeline for drone navigation
- Debugged vision depth-map artifacts (propellers in view) using OpenCV masking
- Improved low-light depth performance by switching models (ZoeDepth to DepthAny3)
- Built multiple ROS2 packages (sensor fusion, ICP mapping, occupancy grid mapping, planning) and integrated into an autonomous navigation stack
- Diagnosed ROS2 latency/message compatibility issues using rqt and RViz communication visualization
- Improved SLAM localization accuracy by replacing complementary filter with EKF for state estimation
- Multi-drone coordination experience using Crazyswarm2; improved state estimation by moving from Flow deck to Vicon
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