Artur Khazetdinov

National Yunlin University of Science and Technology, Kazan Federal University

Papers

Total Citations

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About

Artur Khazetdinov is a researcher at the intersection of robotics, warehouse automation, and medical education technology. His primary contributions lie in developing practical, simulation-driven solutions for robotic warehouse management, where he has pioneered methods for prototyping systems using heterogeneous teams of robots. His most influential work, "RFID-based warehouse management system prototyping using a heterogeneous team of robots" (19 citations), demonstrates a robust approach to deploying robots in highly standardized environments, emphasizing real-world applicability and system resilience. Khazetdinov further advanced the field by creating a standard-compliant Gazebo warehouse model aligned with GOST regulations, providing a validated simulation platform essential for algorithm testing. Demonstrating versatility, he has also applied simulation and AI principles to medical training, developing a computer program for outpatient consulting skills within electronic medical records during the COVID-19 pandemic. This work highlights his ability to bridge robotics and healthcare education. With a focus on high-practical-impact research, Khazetdinov’s contributions are shaping the future of automated warehouses and simulated medical training, offering valuable tools for both industry and academia.