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About

Mikhail Petrov is a researcher focused on advancing human-robot and multi-robot collaboration through semantic interoperability. His work centers on developing ontology-based frameworks that enable robots and humans to share knowledge and coordinate effectively in cyber-physical systems. Petrov’s key contributions include proposing a context-based coalition creation approach for human-robot systems, detailed in his most-cited paper (11 citations), which facilitates dynamic team formation. He also pioneered an ontology-driven method for mobile robot collaboration, allowing robots to negotiate and jointly solve tasks by sharing structured knowledge about tasks, capabilities, and environments (6 citations). His research on Smart M3-based interaction scenarios and indirect robot communication for obstacle overcoming further demonstrates practical applications of semantic technologies in robotics. Petrov’s work addresses critical challenges in multi-agent systems, such as ensuring semantic interoperability between heterogeneous robots, enabling them to cooperate without direct communication. By integrating ontologies into robot interaction, he has laid groundwork for more flexible, intelligent, and scalable robotic teams. His achievements highlight the importance of knowledge representation in advancing autonomous collaboration, making his research valuable for students and engineers working on human-robot interaction, multi-robot systems, and cyber-physical systems.