I. M. Elzein

Belarusian National Technical University

Papers

Total Citations

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About

I. M. Elzein is a researcher specializing in autonomous robotics, multi-agent systems, and intelligent navigation. Their work focuses on the coordination of heterogeneous robot teams, particularly the integration of unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) for safe and efficient operation in unstructured environments. Elzein’s most notable contribution is a proposed artificial neural network system for UAV-UGV positioning and navigation, which fuses data from GPS, robot vision systems, and quadcopter sensors to enable adaptive path planning and control. This work, published in 2018, has garnered 20 citations, reflecting its relevance to the growing field of collaborative robotics. Additionally, Elzein explored the simulation of heterogeneous robot navigation using probabilistic roadmap methods and digital image processing in a 2017 study, which, while less cited, demonstrates foundational work in multi-robot coordination. These contributions advance the practical deployment of autonomous systems in complex, real-world settings, offering insights for students and researchers interested in intelligent control, sensor fusion, and cooperative robotics.