Carlos Carranco
Papers
1
Total Citations
5
H-Index
1
About
Carlos Carranco is a researcher whose work sits at the intersection of autonomous systems, artificial vision, and robotics. His most cited paper, "An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot" (2019), has garnered 5 citations, demonstrating early contributions to integrating computer vision with robotic control. Carranco’s research focuses on developing intelligent control systems that enable robots to perceive and navigate their environments autonomously, leveraging artificial vision techniques for real-time decision-making. His work with the NAO robot platform highlights a practical, hands-on approach to solving challenges in autonomous driving and mobile robotics. While his citation count is modest, Carranco’s contributions are significant for advancing accessible, vision-based control systems that can be applied in educational and research settings. His efforts underscore a commitment to bridging theoretical computer vision with tangible robotic applications, offering a foundation for future innovations in autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1