F. B. Naranjo

Universidad de Alcalá

Papers

1

Total Citations

21

H-Index

1

About

F. B. Naranjo is a researcher whose work lies at the intersection of mobile robotics, intelligent spaces, and sensor-based positioning systems. His most notable contribution is the development of a novel coverage-mapping method that uses a hardware model to relate phase shift measurement precision to specific navigation areas, thereby enabling the construction of coverage maps that define signal-to-noise ratio (SNR) thresholds for reliable robot localization. This work, published in 2009 and cited 21 times, provides a practical framework for improving the accuracy and robustness of mobile-robot positioning in real-world environments. By linking hardware-level signal characteristics to spatial navigation performance, Naranjo’s approach helps bridge the gap between theoretical positioning algorithms and their deployment in intelligent spaces. His research is particularly relevant for applications in autonomous navigation, ambient intelligence, and sensor network design. Through this focused contribution, Naranjo has advanced the understanding of how sensor precision and environmental geometry interact, offering a valuable tool for engineers and researchers working on reliable robot localization in complex, dynamic settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Coverage-Mapping Method Based on a Hardware Model for Mobile-Robot Positioning in Intelligent Spaces
21 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universidad de Alcalá

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago