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About

Roman Fedorenko is a robotics and control systems researcher whose work spans autonomous aerial vehicles, underwater robotics, and multi-agent systems. He is best known for his foundational contributions to the design and control of unmanned robotic airships, developing sophisticated nonlinear mathematical models that capture the complex kinematics, dynamics, and propulsion characteristics of these vehicles. His early papers on airship autopilot design and position-trajectory control systems, accumulating over 20 citations each, established robust frameworks for adaptive control in highly nonlinear, uncertain environments — work that remains influential in autonomous aerial vehicle research. Fedorenko's contributions extend beyond airships: his research on decentralized control of vehicle groups navigating obstructed environments and drone cinematography systems reflects a broader interest in intelligent autonomous systems operating in real-world, unstructured settings. More recently, his work on mixed-integer path and morphing planning for tensegrity drones — already garnering 12 citations since 2022 — demonstrates his engagement with cutting-edge morphable aerial platforms. His investigations into autonomous underwater vehicles further highlight the cross-domain versatility of his expertise. Across more than a decade of research, Fedorenko has consistently advanced the theory and practical design of adaptive, robust control systems for complex robotic platforms operating in challenging environments.