Julio Vega

Universidad Rey Juan Carlos

Papers

11

Total Citations

177

H-Index

7

About

Julio Vega is a robotics researcher whose work centers on educational robotics, open-source platforms, and accessible STEM learning tools. He has dedicated much of his career to lowering the barriers to robotics education, developing innovative hardware and software solutions for students at all levels — from primary school children to university engineering students. Among his most recognized contributions is the PiBot platform (2018, 44 citations), a low-cost, open-source robot built around the Raspberry Pi 3 that introduces vision-based robotics to secondary students. Complementing this hardware work, Vega developed PyBoKids (2019, 21 citations), a Python-based educational framework bridging real and simulated Arduino robots, and contributed an open-access drone programming course within the RoboticsAcademy framework (2020, 39 citations), making autonomous aerial robotics freely available to learners worldwide. His research also explores cutting-edge applications, including facial emotion recognition using machine learning on low-cost robots, reconfigurable computing with open-source FPGAs, and evolutionary visual localization techniques. His most recent contribution, G-ARM (2025), extends his mission by delivering an affordable, 3D-printable robotic arm integrated with ROS2 for classroom use. With over 170 cumulative citations, Vega's work has meaningfully shaped how robotics is taught and experienced in modern education.

Research Focus

Key Achievements

7
H-Index
11
Papers
177
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
PiBot: An Open Low-Cost Robotic Platform with Camera for STEM Education
44 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Universidad Rey Juan Carlos

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago