Sotir Sotirov

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About

Sotir Sotirov is a leading figure in the application of intuitionistic fuzzy logic and generalized nets to robotics and complex scheduling. His work centers on modeling human-robot interaction and autonomous service robot functionalities, where he has developed novel frameworks that integrate fuzzy estimation with dynamic network models. His most cited paper, "Intuitionistic Fuzzy Generalized Net Model of the Humanoid Service Robot Functionalities" (2022, 7 citations), establishes a foundational approach for representing and reasoning about robot behaviors under uncertainty. He further advanced this line of research with "Intuitionistic Fuzzy Generalized Net Model of a Human-Robot Interaction" (2023, 3 citations), demonstrating how fuzzy sets can capture the nuances of collaborative tasks. Earlier, his work on "Intuitionistic Fuzzy Estimation of the Generalized Nets Model of Spatial-Temporal Group Scheduling Problems" (2015, 5 citations) provided a powerful tool for optimizing resource allocation in time-sensitive environments. Sotirov’s contributions are notable for bridging theoretical fuzzy mathematics with practical robotics and scheduling, offering robust solutions for real-world automation challenges. His research continues to influence the development of intelligent systems that operate effectively in ambiguous, human-centric contexts.