Daniel Fidel Cruz-Lunagomez
Papers
1
Total Citations
2
H-Index
1
About
Daniel Fidel Cruz-Lunagomez is a researcher whose work lies at the intersection of computer vision and autonomous mobile robotics, with a particular focus on enabling robots to perceive and navigate indoor environments without reliance on expensive, specialized hardware. His most cited paper, "Floor plane recovery from monocular vision for autonomous mobile robot on indoor environments" (2011), addresses a fundamental challenge in robotics: extracting spatial information from a single camera. By developing a robust approach for plane recovery using only monocular vision, Cruz-Lunagomez demonstrated that autonomous robots could achieve reliable floor plane detection without laser range finders or optical time-of-flight sensors—a contribution that reduces cost and complexity in robotic systems. Though his citation count is modest, his work represents a practical step toward making autonomous navigation more accessible, particularly for indoor settings where budget constraints often limit hardware choices. His research underscores a commitment to solving real-world perception problems with minimal sensor requirements, offering valuable insights for students and engineers exploring cost-effective solutions in mobile robotics.
Research Focus
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Top Papers
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