Daniel Juanatey
Papers
1
Total Citations
5
H-Index
1
About
Daniel Juanatey is a researcher whose work lies at the intersection of artificial intelligence, robotics, and education. His primary contributions center on developing accessible, long-term educational frameworks that integrate AI and robotics, most notably through the **Robobo SmartCity** project. This innovative system combines a smartphone-based robot, Robobo, with a physical smart city model, creating a tangible, engaging platform for students to learn complex AI concepts. Juanatey’s key contribution is the development of a simulation model for autonomous driving within this framework, which allows learners to experiment with real-world AI applications in a controlled, educational setting. His most cited paper (5 citations) details this simulation, highlighting his focus on bridging theoretical AI with practical, hands-on robotics education. By designing tools that make advanced topics like autonomous navigation accessible, Juanatey is helping to shape the next generation of AI and robotics engineers, demonstrating a clear impact in the niche but vital field of educational robotics.
Research Focus
Key Achievements
Top Papers
- 1