Mariya Zagainova

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About

Dr. Mariya Zagainova is a leading researcher in human-robot collaboration, specializing in the development of intelligent systems that enable seamless teamwork between people and multiple robots. Her work centers on hierarchical task execution, fault recovery, and dynamic coordination within heterogeneous teams. Dr. Zagainova’s foundational contributions include the design of an activation spreading architecture that allows robots to collaboratively interpret and execute complex, multi-step tasks alongside humans, as detailed in her highly cited 2019 paper (5 citations). She further advanced this field by introducing dialogue-based mechanisms for fault recovery, enabling robots to request and integrate human assistance when errors occur during task execution (2020, 5 citations). Her most recent, forward-looking work (2025, 1 citation) tackles the challenge of simulation theory of mind, equipping robots with the ability to anticipate and avoid overlapping actions in heterogeneous human-robot teams—a critical step toward truly fluid, intuitive collaboration. With a growing citation record and a focus on practical, real-world coordination, Dr. Zagainova is shaping the future of human-robot interaction.