Viktor Kapura

Papers

Total Citations

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About

Viktor Kapura’s research centers on autonomous mobile robotics, with a specific focus on navigation, sensor fusion, and mapping in complex, unstructured environments. His most cited work, “The Local Area Map Building for Mobile Robot Navigation Using Ultrasound and Infrared Sensors” (2007, 9 citations), introduces an innovative method for constructing local area maps by fusing data from ultrasound and infrared sensors. This approach addresses the critical challenge of enabling robots to perceive and navigate spaces where traditional mapping techniques fall short. Kapura further advanced the field with his 2009 study on navigation in environments with dynamic obstacles, proposing an improved local navigation method that leverages potential fields and gradient-based direction toward a goal. Though his citation counts are modest, his contributions are foundational for researchers tackling real-world robotic navigation in cluttered or changing settings. Kapura’s work underscores the importance of sensor integration and adaptive algorithms, offering practical solutions for mobile robot autonomy. His research remains relevant for students and engineers developing robust navigation systems for service robots, autonomous vehicles, and exploration platforms.