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Kutay Demiralay
Junior Controls & Autonomy Engineer specializing in robotics and trajectory optimization
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About
MS thesis work in the University of Washington Autonomous Controls Lab building a full quadrotor guidance/navigation/control stack, including high-fidelity dynamics modeling and an SCP trajectory optimizer made robust to wind via trust regions and MPC-style replanning. Also built an autonomous RC car using ROS on Jetson Xavier with ZED stereo/VIO, implementing perception (point cloud filtering/clustering) and state estimation while addressing real-time synchronization and latency challenges.
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Key Strengths
- Built an end-to-end quadrotor GNC pipeline (modeling, simulation, planning, control, real-time implementation)
- Deep controls expertise: cascaded PID + LQR design/tuning and validation in simulation and Python real-time code
- Improved SCP trajectory planner robustness under wind disturbances using trust regions, stricter constraints, better discretization, and MPC-style replanning
- Hands-on ROS-based autonomy stack integration (perception, localization/state estimation, planning/control) on Jetson with ZED stereo/VIO
- Practical real-time engineering: sensor-rate/latency synchronization strategies and compute-load management
- Systems thinking for production-grade robotics: requirements/budgets, modular pipeline architecture, robustness and validation focus
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