Rafael Arnay
Papers
6
Total Citations
175
H-Index
5
About
Rafael Arnay is a researcher at the forefront of computer vision, educational robotics, and computational thinking. His work bridges the gap between complex technical concepts and accessible learning tools, with his most-cited paper, "OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts" (69 citations), revolutionizing how industrial engineering students grasp computer vision fundamentals. Arnay’s contributions extend to autonomous systems, where his method for using Kinect on autonomous vehicles for outdoor obstacle detection (52 citations) advanced safe robot navigation by addressing the unreliability of large-wavelength light projection. He is also a pioneer in educational technology, developing the free web tool "Simulador de Robótica Educativa" (23 citations) to promote computational thinking through decomposition and abstraction, and creating interactive 3D models for teaching kinematics (22 citations). His recent work on RoblockLLy (2024) further democratizes computer science education for primary and secondary students. With a career spanning from ant colony optimization in robotic vision to modern simulation tools, Arnay’s impactful research—garnering over 175 citations—demonstrates a commitment to making robotics and computer vision both safer and more teachable for the next generation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Using Kinect on an Autonomous Vehicle for Outdoors Obstacle Detection52 citations · 2016
- 3
- 4Teaching kinematics with interactive schematics and 3D models22 citations · 2017
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