Irina Kondaurova

University of Louisville, University of Louisville Hospital

Papers

Total Citations

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About

Irina Kondaurova is a leading researcher at the intersection of robotics, human-robot interaction, and assistive healthcare technologies. Her work focuses on developing intelligent robotic systems that can adapt to human needs in real time, with particular emphasis on physiotherapy, patient safety, and nursing assistance. Kondaurova’s major contributions include pioneering adaptive motion imitation algorithms for robot-assisted physiotherapy using dynamic time warping and recurrent neural networks, enabling more natural and effective rehabilitation exercises. She also developed a neural human intent estimator for the Adaptive Robotic Nursing Assistant (ARNA), allowing robots to anticipate and respond to human actions during care tasks. Her research on perceived usefulness of robotic technology for fall prevention, grounded in the Technology Acceptance Model, provides critical insights for deploying robots in clinical settings. With over 28 citations across her most-cited papers published in 2024 alone, Kondaurova’s work is rapidly gaining recognition for its practical impact on healthcare robotics. Her innovative adaptive user interface designs for teleoperation further demonstrate her commitment to making robotic assistance intuitive and accessible for both patients and healthcare providers.