Luis Ruiz Cardenas
Papers
1
Total Citations
5
H-Index
1
About
Luis Ruiz Cardenas is a researcher specializing in mobile robotics, embedded systems, and machine vision. His work focuses on enabling autonomous navigation in dynamic environments, particularly through the integration of image processing algorithms with low-cost, embedded ARM platforms. His most cited paper, "Dynamic obstacle avoidance of a mobile robot through the use of machine vision algorithms" (2013), presents a practical implementation where a vision-equipped robot detects and avoids both static and moving obstacles in real time. This contribution highlights his interest in making autonomous systems more accessible and computationally efficient. While his citation count is modest, his research is valuable for students and engineers working on affordable, vision-based robotic solutions. Cardenas’s work bridges the gap between theoretical computer vision and real-world robotics, offering a hands-on approach to autonomous navigation that is particularly relevant in educational and prototyping contexts.
Research Focus
Key Achievements
Top Papers
- 1