Volodymyr Turchenko

Papers

Total Citations

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About

Volodymyr Turchenko is a researcher whose work bridges artificial intelligence, sensor data processing, and robotics, with a focus on practical applications in sport activity recognition and autonomous navigation. His key contributions include developing an artificial neural network approach for detecting and recognizing sport gestures, exemplified in his 2019 paper on tennis activity recognition using the PIQ ROBOT device, which has garnered 7 citations. This work highlights the integration of AI into wearable technology for real-time motion analysis. Additionally, Turchenko has advanced mobile robotics through his 2007 study on infrared sensor data correction for local area map construction, earning 6 citations. This research addresses critical challenges in sensor accuracy for autonomous navigation, enabling more reliable environment mapping. His work demonstrates a commitment to applying computational intelligence to solve real-world problems, from enhancing athletic performance monitoring to improving robotic perception. Turchenko’s interdisciplinary approach, combining machine learning with sensor fusion, positions him as a contributor to the growing field of AI-driven human-robot interaction and activity recognition.