Papers

4

Total Citations

137

H-Index

2

About

Maan E. El Najjar is a researcher specializing in multi-sensor fusion, fault detection and exclusion, and collaborative localization for multi-robot systems. His work addresses one of the most critical challenges in autonomous robotics: ensuring reliable and accurate positioning in environments that are dangerous or inaccessible to humans. El Najjar's most significant contribution lies in developing fault-tolerant localization frameworks that integrate multiple sensors while actively diagnosing and excluding faulty data, thereby preserving the integrity of robot navigation in high-stakes scenarios. His most influential work, a 2017 paper on multi-sensor fusion using the Kullback–Leibler Divergence, has garnered 121 citations, reflecting its strong impact on the robotics and autonomous systems community. This probabilistic approach to fault detection offers a mathematically rigorous method for identifying sensor anomalies within collaborative robot teams. Complementing this, his series of 2016 publications further explored fault-tolerant collaborative localization, demonstrating how groups of robots can maintain accurate self- and mutual-positioning even under sensor failure conditions. Together, these contributions establish El Najjar as a meaningful voice in advancing the safety and robustness of multi-robot systems operating in complex, real-world environments.

Research Focus

Key Achievements

2
H-Index
4
Papers
137
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Multi-sensor fusion approach with fault detection and exclusion based on the Kullback–Leibler Divergence: Application on collaborative multi-robot system
121 citations · 2017
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Centre National de la Recherche Scientifique, Centre de Recherche en Informatique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago