Mohamed Alborati

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About

Mohamed Alborati is a robotics educator and researcher whose work sits at the intersection of embedded systems, computer vision, and undergraduate engineering pedagogy. His most recognized contribution involves augmenting commercially available VEX robots with Raspberry Pi single-board computers and camera modules, creating accessible platforms capable of onboard image processing — a development documented in his most-cited work, "Enhancement of a VEX Robot with an Onboard Vision System" (2018, 5 citations). Building on this foundation, Alborati has advanced the field of educational robotics by exploring wireless inter-vehicle communication among VEX robots, contributing to the growing body of research on coordinated robotic networks and their integration into undergraduate curricula. His 2019 work on visual servoing further demonstrates his commitment to bridging cutting-edge robotics concepts with hands-on student learning, providing accessible experimental frameworks for courses that might otherwise lack sophisticated robotic testbeds. While his citation counts remain modest, Alborati's research reflects a meaningful dedication to democratizing advanced robotics education, equipping undergraduate students with practical exposure to real-world technologies including vision systems, networked robotics, and autonomous control — skills increasingly vital in modern engineering practice.