Onur Ulusoy

• Developed and maintained the locomotion system of a quadrupedal robot using advanced blind and perceptive controllers with state-of-the-art libraries and control strategies. • Designed and implemented end-to-end deep reinforcement learning, imitation learning, and hybrid AI architectures, training models and optimizing them to enable robust quadrupedal navigation across uneven and challenging terrains. • Developed deep learning–based state estimation pipelines integrating proprioceptive and exteroceptive data, enabling controllers to receive accurate and reliable feedback for decision-making and control. • Designed and integrated motor control systems to drive a 12-DOF quadrupedal robot, performing joint-to-motor mapping through derived system dynamics and kinematics. Adapted and tuned controllers to meet mechanical requirements; simulated joint behavior and visualized responses to validate performance metrics. • Built hardware abstraction layers and integrated low- and high-level components. Developed high-speed real-time communication protocols compliant with industrial standarts to support responsive and deterministic control cycles.

• Developed and optimized C/C++ embedded software running on real-time Linux kernel for PLC communication modules, resolved customer-reported software bugs to improve the product in a foundational project (6 months). • Supported embedded projects, collaborated on other industrial products, and contributed to test automation efforts (5 months). • Developed backend software for an industrial 5G CBRS project, implementing solutions for 5G connectivity in industrial applications targeting the U.S. market. Created a CBRS Core Java application designed to run in a containerized environment (6 months).

• Played a pivotal role in the team, serving as Electronics Captain for 5 months and contributing to the electronics team. • Co-led the design and implementation of embedded systems for a robot that clinched the world #1 spot at the SAUVC 2022 competition. • Worked collaboratively with a cross-disciplinary team to ensure optimal system performance and competition readiness. • Gained valuable experience in robotics and embedded systems, while honing leadership skills through co-leading a world-class project.

• Asisted to the development and testing of avionics systems for missile applications. • Analyzed hardware and control structures for missile navigation, and targeting systems.

• Conducted structural analysis of aerospace components, analyzing construction and loads through collaboration with senior engineers. • Documented analytical findings for design compliance, safety, and performance, applying mechanical engineering principles.

Double Major