Ivanna Mykhalchyshyna

University of Koblenz and Landau, Universität Koblenz

Papers

Total Citations

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About

Ivanna Mykhalchyshyna is a robotics researcher whose work lies at the intersection of human-robot interaction and computer vision. Her primary research areas include gesture recognition, autonomous service robotics, and the development of socially aware robotic systems. Mykhalchyshyna’s most cited work, “Gesture Recognition On Human Pose Features Of Single Images” (2018, 5 citations), addresses the critical challenge of enabling robots to interpret human intentions—such as detecting a waving person in a restaurant or understanding a pointing gesture in a supermarket—thereby expanding the possibilities for intuitive human-robot collaboration. She was a key member of the homer@UniKoblenz team from the University of Koblenz and Landau, contributing to their participation in the RoboCup@Home 2014 competition and, notably, to their victory in the RoboCup@Home Open Platform League in 2018. These achievements highlight her expertise in integrating novel scientific advancements into practical robotic platforms, pushing the boundaries of how robots perceive and respond to human cues in dynamic, real-world environments.