Oscar Javier Castelblanco

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About

Oscar Javier Castelblanco is a robotics researcher dedicated to making algorithmic thinking accessible to young learners through tangible, interactive technology. His primary research area lies at the intersection of educational robotics and computational thinking, where he designs platforms that bridge abstract programming concepts with physical, real-world interaction. Castelblanco’s most notable contribution is the KALA robotic platform, a differential drive robot that brings the classic KAREL programming environment to life. By transforming a screen-based, symbolic learning tool into a hands-on, mobile robot, his work enables children to directly observe the cause-and-effect relationship between code and physical action. The 2019 paper detailing this platform, which has garnered 3 citations, serves as a foundational reference for educators and researchers seeking to integrate embodied robotics into primary education. Castelblanco’s approach emphasizes that learning to think algorithmically need not be confined to a computer—by making the robot itself the output, he fosters deeper engagement and intuition in novice programmers. His work continues to inspire low-cost, accessible solutions for STEM education, demonstrating that even simple robotic systems can have a profound impact on how children learn to think logically and solve problems.