Tamara Baamonde
Papers
2
Total Citations
32
H-Index
2
About
Tamara Baamonde is a leading researcher at the intersection of educational robotics and artificial intelligence, with a primary focus on computational intelligence (CI) and autonomous driving education. Her most significant contribution is the development of the **Robobo SmartCity framework**, an innovative educational model that integrates smartphone-based robotics with a physical smart city model to teach AI fundamentals. This work, detailed in her highly cited 2023 paper (27 citations), provides a hands-on, project-based approach for students to learn complex topics like autonomous driving and machine learning. Baamonde’s research is distinguished by its practical, long-term educational impact, as demonstrated in her 2021 study (5 citations) on developing simulation models for sustained AI learning. By bridging theoretical AI concepts with tangible, real-world robotics applications, she has created a powerful tool for democratizing AI education. Her work not only advances pedagogical methods but also equips the next generation of engineers with critical skills in automation and intelligent systems, making her a pivotal figure in modern STEM education.
Research Focus
Key Achievements
Top Papers
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