Artem V. Belopolsky

Papers

Total Citations

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About

Artem V. Belopolsky is a researcher working at the intersection of human-robot interaction and computer vision, with a particular focus on gaze estimation technologies. His work addresses one of the fundamental challenges in social robotics: enabling robots to accurately interpret human gaze without the burden of specialized hardware or time-consuming calibration procedures. Belopolsky's most notable contribution examines the boundary conditions for appearance-based gaze estimation models deployed on social robots, critically evaluating how state-of-the-art methods perform in real-world human-robot interaction scenarios. This research is especially significant as appearance-based approaches represent a promising frontier — offering practical, device-free solutions that could dramatically lower the barriers to deploying gaze-aware social robots. By systematically benchmarking these models against the demands of HRI contexts, Belopolsky's work provides the research community with crucial insights into where current technologies succeed and where they fall short. While his publication record is still developing, with his 2023 paper already accumulating early citations, Belopolsky is positioned as an emerging voice in a rapidly growing field where the ability of robots to understand human attention has profound implications for assistive technology, education, and human-computer interaction research.