Miquel Rustullet

Papers

Total Citations

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About

Miquel Rustullet is a researcher whose work bridges artificial intelligence education and robotics, with a particular focus on case-based reasoning (CBR)—a methodology for developing knowledge-based systems. His most cited paper, "Amusing Lego Choreographies for Learning Case-based Reasoning" (2014), introduces an innovative pedagogical approach that uses Lego robots to teach CBR concepts in undergraduate engineering labs. By transforming abstract AI principles into tangible, interactive experiences, Rustullet makes complex topics accessible to students in electrical, electronic, systems, and computer science programs. Though his citation count stands at 2, the work's significance lies in its practical impact on AI education, offering a replicable model for hands-on learning. Rustullet's contribution demonstrates how playful, low-cost robotics can demystify advanced AI methodologies, inspiring future engineers to engage with knowledge-based systems in creative ways. His research underscores the value of experiential learning in technical disciplines, making him a notable figure in the intersection of robotics, education, and artificial intelligence.