De Cuadros
Papers
1
Total Citations
6
H-Index
1
About
De Cuadros is a researcher in mobile robotics and computer vision, with a focus on developing practical systems for autonomous navigation. Their most-cited work, "Development of a mobile robotics platform for navigation tasks using image processing" (2015, 6 citations), introduces a low-cost, vision-based platform that integrates image processing algorithms for real-time obstacle detection and path planning. This contribution addresses key challenges in robotics, such as sensor fusion and environmental mapping, by leveraging accessible hardware and efficient software. While their citation count is modest, the work is notable for its hands-on approach to bridging theoretical computer vision with tangible robotic applications, making it a valuable resource for students and researchers exploring entry-level autonomous systems. De Cuadros’ research underscores the importance of scalable, cost-effective solutions in robotics education and prototyping, demonstrating how image processing can enable robust navigation in constrained environments. Their work continues to inspire practical implementations in mobile robotics, particularly in academic settings where resource limitations demand innovative, streamlined designs.
Research Focus
Key Achievements
Top Papers
- 1