Emanoel Koslosky

Universidade Tecnológica Federal do Paraná

Papers

Total Citations

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About

Emanoel Koslosky is a researcher focused on the intersection of fuzzy logic control systems and unmanned aerial vehicle (UAV) dynamics, particularly multirotor platforms. His work addresses the challenge of stabilizing complex aerial systems under uncertain conditions, where traditional control methods may fall short. Koslosky’s major contributions include pioneering the design of fuzzy logic controllers for ROS (Robot Operating System)-based multirotors, as detailed in his 2017 paper, which has garnered 3 citations. He further explored this approach in a 2015 study on controlling a simulated hexacopter carrying an attached pendulum—a scenario that mimics real-world payload delivery challenges. By applying fuzzy logic, which excels in handling imprecise inputs and nonlinear dynamics, Koslosky has advanced the robustness of drone maneuvering for applications ranging from industrial inspection to logistics. His work is notable for bridging theoretical control engineering with practical robotics, offering a foundation for researchers tackling autonomous flight in unpredictable environments. With a total of 5 citations across his key papers, Koslosky’s research contributes to the growing field of intelligent aerial systems, inspiring further exploration into adaptive control for next-generation UAVs.