Vladimir Parfenov
Papers
2
Total Citations
14
H-Index
2
About
Vladimir Parfenov is a researcher at the intersection of human-robot interaction and intelligent systems, with a focus on ontologies and context-aware collaboration. His work addresses the critical challenge of enabling seamless cooperation between humans and robots in dynamic environments. Parfenov’s most cited paper, “Context-Based Coalition Creation in Human-Robot Systems: Approach and Case Study” (2017, 11 citations), introduces a novel framework for forming adaptive human-robot teams by leveraging contextual information, enhancing task efficiency and safety. He further advances this field with “Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface” (2018, 3 citations), where he develops structured knowledge representations to make robot interfaces more intuitive and responsive to user needs. Parfenov’s contributions are foundational for designing robots that understand and anticipate human intentions, with applications in manufacturing, healthcare, and remote operations. His work is particularly notable for bridging theoretical ontology design with practical, case-study-driven validation, offering a roadmap for more intelligent and flexible human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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