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
Top Papers
- 1
- 2Fault tolerant collaborative localization for multi-robot system12 citations · 2016
- 3
- 4