Robotics Systems and Control
Robotics systems and control engineer specializing in legged locomotion and whole-body control, bridging reinforcement learning with model-based control. Experienced across spatial-dynamics modeling, large-scale simulation, torque-level control, and deployed hardware systems.
Currently
A few representative systems showing end-to-end ownership across control design, simulation, software, and deployment.
Core engineer for ASELSAN's in-house quadrupedal robot platform, designing low-level control and estimation software in C++ on real-time Linux. Built a hierarchical locomotion stack using spatial dynamics, optimal control, MPC, and WBIC for stable operation on steep terrain and stairs.
Systems engineering lead for a Ghost Vision 60 based quadruped with custom payload integration. Coordinated multidisciplinary development, built ROS2 and Docker-based production workflows, and delivered the system for field deployment after public demonstration at IDEF 2025.
Built a research pipeline combining high-level reinforcement learning policies with WBIC-based torque control. Developed high-performance C++ simulation environments using Cheetah Software and EnvPool for parallelized training, evaluation, and sim-to-real oriented controller development.
Experience, education, and technical capabilities centered on legged robotics, control, estimation, and learning.
Core engineer for ASELSAN's quadruped platform. Designed low-level control and estimation software, developed the hierarchical locomotion controller, and co-developed a contact-consistent external disturbance estimator.
Led systems engineering for a Ghost Vision 60 based platform with custom payload integration, coordinated cross-functional teams, and supported field deployment through ROS2 and Docker-based production workflows.
Worked on foldable, collision-resilient quadrotor MAVs, extending RotorS with cascaded PID control and validating analytical crash-dynamics models against simulation and experiments.
Performed system identification using frequency sweep inputs for controller analysis.
Worked on mobile robot control systems with emphasis on sensor fusion and state estimation for fulfillment applications.
Supported laboratory instruction and evaluated reports and assessments.
Researching hierarchical locomotion control for quadrupedal robots under Assoc. Prof. Dr. M. Mert Ankarali and Assoc. Prof. Dr. Ali Emre Turgut, combining reinforcement learning with whole-body impulse control.
Full scholarship recipient with monthly stipend, honor certificates for academic excellence, and four completed graduate-level engineering electives.
Ranked in the top 0.01% of the 2017 National University Entrance Exam among more than 2.1 million students.
Completed the 10th International Summer School on Screw-Theory-Based Methods in Robotics in 2024.
Member of the Bilkent University Mechanical Engineering Society, freshmen mentor in ASCU, and volunteer building supervisor for Oy ve Otesi.
Languages: Turkish (Native), English (Full Professional Proficiency), German (Elementary).
Certificates: Systems Engineering Basic Concepts and Technical Processes, Systems Engineering Standards and Technical Management, Using DOORS for Requirements Management, and Intro to Doors Next.
For robotics, controls, research, or deployment-focused opportunities, reach out directly.