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About

Roy McGrann is an educator and researcher whose work sits at the intersection of robotics, artificial intelligence, and engineering pedagogy. His research focuses on developing innovative, hands-on teaching methodologies that bring complex computational concepts to life through accessible, low-cost robotic platforms. McGrann has made significant contributions to undergraduate engineering education by designing laboratory curricula that integrate autonomous robots as versatile teaching tools, enabling students to explore classical control theory, fuzzy logic, neural networks, and genetic algorithms in tangible, engaging ways. His most influential work, "Autonomous Robots as a Generic Teaching Tool" (2006), has garnered 12 citations and established a framework for using small autonomous robots across multiple engineering disciplines, including bioengineering. Building on this foundation, McGrann expanded his pedagogical approach to specifically address fuzzy logic instruction using PDAs and custom software, and later contributed to the development of an open-source robotic platform designed to serve learners across the full educational spectrum — from introductory coursework to advanced research applications. His efforts reflect a sustained commitment to democratizing engineering education by reducing costs and barriers while maintaining rigorous academic standards, making sophisticated AI and robotics concepts genuinely accessible to the next generation of engineers.