Omayra Yago Nieto

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About

Omayra Yago Nieto is a pioneering researcher in aerial robotics, with a primary focus on safe learning-based control for aerial manipulation systems. Her work addresses the critical challenge of integrating robotic manipulator arms with agile multirotor UAVs, enabling these platforms to perform complex tasks that require both flight versatility and precise manipulation. Her most-cited paper, "Safe learning-based control for an aerial robot with manipulator arms" (2024), has already garnered 3 citations, reflecting its early impact in a rapidly advancing field. This contribution is notable for advancing trajectory tracking control—a fundamental requirement for applications ranging from infrastructure inspection to search-and-rescue operations. By combining control theory with machine learning, Nieto’s research enhances the safety and reliability of aerial robots operating in dynamic environments. Her work stands at the intersection of robotics, control systems, and artificial intelligence, offering practical solutions for next-generation autonomous systems. As a researcher, she is helping to shape the future of aerial manipulation, making her a key figure for students and engineers interested in safe, adaptive robotic control.