Vitaliy Dorosh

Papers

Total Citations

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About

Vitaliy Dorosh is a researcher whose work bridges artificial intelligence and robotics, with a particular focus on intelligent systems for human activity and autonomous navigation. His most cited paper, "Artificial Intelligence for Sport Activity Recognition" (2019, 7 citations), introduces an artificial neural network approach for detecting and classifying sports gestures, using tennis as a case study with the PIQ ROBOT device. This contribution demonstrates how machine learning can be applied to wearable sensor data for real-time motion analysis, opening pathways for applications in sports training, rehabilitation, and human-computer interaction. Earlier, Dorosh contributed to mobile robotics with his 2009 paper "Mobile Robot Navigation Method for Environment with Dynamical Obstacles" (2 citations), where he analyzed existing global and local navigation techniques and proposed an improved local navigation method based on potential fields that accounts for the gradient of direction toward the goal. This work addresses a fundamental challenge in autonomous robotics: safe and efficient movement through dynamic environments. Though his citation counts are modest, Dorosh’s research reflects a focused interest in applying computational intelligence to real-world problems—from recognizing human movement to guiding robots through unpredictable spaces—showcasing the practical potential of AI and robotics integration.