Szymon CHERUBIN

Military University of Technology in Warsaw

Papers

Total Citations

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About

Szymon Cherubin is an emerging researcher in robotics and autonomous systems, with a focus on accessible, low-cost platforms and advanced navigation algorithms. His work centers on integrating computer vision with mobile robotics, as demonstrated in his most-cited paper, "YOLO object detection and classification using low-cost mobile robot" (2024, 5 citations). This study showcases how state-of-the-art deep learning object detection can be deployed on budget-friendly hardware, bridging the gap between high-performance AI and practical, real-world robotic applications. Cherubin also made significant contributions to autonomous navigation in his paper "Autonomous Robot Project Based on the Robot Operating System Platform" (2022, 2 citations), where he detailed the development of a mobile robot leveraging the Robot Operating System (ROS) for 2D map generation and autonomous movement. By emphasizing open-source software and modular hardware design, his work provides a valuable blueprint for students and researchers seeking to build capable, low-cost autonomous robots. Though early in his career, Cherubin’s research is already informing accessible robotics education and prototyping, with his publications appearing in respected technical outlets like Wydawnictwo SIGMA-NOT.