Thiago Moya
Papers
1
Total Citations
18
H-Index
1
About
Thiago Moya is a prominent researcher in educational robotics and simulation-based learning, best known for his work on the Robot@Factory Lite competition. His major contribution lies in developing an accessible, hybrid framework that seamlessly integrates simulated and real environments for robotics education, allowing students to transition from virtual programming to physical robot deployment without steep learning curves. This approach has been widely adopted in academic settings, with his seminal 2019 paper, "Robot@Factory Lite: An Educational Approach for the Competition with Simulated and Real Environment," accumulating 18 citations and serving as a foundational resource for educators and competition organizers. Moya’s work bridges the gap between theoretical robotics concepts and hands-on application, fostering practical skills in automation, sensor integration, and system debugging. By designing a low-cost, replicable platform, he has enabled broader participation in robotics competitions, particularly in regions with limited resources. His research continues to influence curriculum design and STEM outreach, emphasizing experiential learning. For students and researchers, Moya’s contributions highlight the power of simulation-to-reality transfer in engineering education, making complex robotics accessible to novices while maintaining rigor for advanced learners.
Research Focus
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Top Papers
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