Eduardo Quevedo
Universidad de Burgos, Universidad de Las Palmas de Gran Canaria
Papers
4
Total Citations
32
H-Index
4
About
Eduardo Quevedo is a researcher whose work bridges autonomous robotics, computer vision, and technology-enhanced education, making meaningful contributions to both industrial automation and pedagogical innovation. His most impactful work, "Development and Experimental Validation of Control Algorithm for Person-Following Autonomous Robots" (2023, 13 citations), advances the field of autonomous mobile robots by addressing complex intralogistics challenges, particularly in environments requiring flexible human-robot interaction. This research demonstrates his strong grounding in control systems and applied robotics. Quevedo is equally distinguished for his commitment to educational robotics. His 2021 study on sustainable educational robotics during COVID-19 lockdowns (9 citations) showcases his ability to adapt hands-on STEM learning for virtual environments, reflecting a deep concern for equitable and resilient education. His earlier work on project-based learning with open-source hardware and software (2015, 6 citations) highlights a long-standing dedication to student engagement and accessible technology in the classroom. His involvement in the EDUROV program further underscores his collaborative spirit, connecting underwater robotics research with real-world educational outreach. Together, these contributions position Quevedo as a versatile researcher shaping both the future of autonomous systems and innovative STEM pedagogy.
Research Focus
Key Achievements
Top Papers
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