Evdokia Sotirova

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About

Dr. Evdokia Sotirova is a pioneering researcher at the intersection of artificial intelligence, fuzzy logic, and robotics, with a primary focus on intuitionistic fuzzy generalized nets. Her work centers on modeling complex, dynamic systems—particularly human-robot interactions and spatial-temporal scheduling—using advanced mathematical frameworks. Her most cited paper, "Intuitionistic Fuzzy Generalized Net Model of the Humanoid Service Robot Functionalities" (2022, 7 citations), establishes a foundational model for robot behavior under uncertainty, while her 2015 study on "Intuitionistic Fuzzy Estimation of the Generalized Nets Model of Spatial-Temporal Group Scheduling Problems" (5 citations) addresses critical optimization challenges in multi-agent coordination. More recently, her 2023 work on human-robot interaction modeling (3 citations) extends these concepts to real-time collaborative environments. Though her citation counts reflect a growing field, Sotirova’s contributions are notable for their theoretical rigor and practical relevance, offering novel tools for designing adaptive, intelligent systems. Her research is particularly valuable for students and researchers exploring fuzzy logic applications in robotics and automation, bridging abstract mathematics with tangible robotic functionalities.