Esteban A. Esquivel-Barboza
Papers
1
Total Citations
6
H-Index
1
About
Esteban A. Esquivel-Barboza is a researcher at the forefront of educational robotics, specializing in the integration of computer vision and mobile technologies to democratize STEM learning. His most cited work, "Adapting Computer Vision Algorithms to Smartphone-based Robot for Education" (2020, 6 citations), introduces the Robobo platform—a smartphone-powered educational robot that runs real-time object identification, ArUco marker detection, and lane detection algorithms natively. This contribution bridges the gap between advanced computer vision and accessible, low-cost robotics, enabling students at multiple educational stages to engage with cutting-edge AI concepts. Esquivel-Barboza’s research demonstrates how off-the-shelf smartphones can be transformed into powerful robotic brains, reducing barriers to entry in robotics education. His work has been pivotal in showing that sophisticated algorithms need not be confined to expensive hardware, making hands-on learning in artificial intelligence and autonomous systems more inclusive. By focusing on practical, deployable solutions, Esquivel-Barboza continues to inspire a new generation of engineers and educators, proving that impactful research can thrive at the intersection of affordability and innovation.
Research Focus
Key Achievements
Top Papers
- 1