Papers
19
Total Citations
153
H-Index
8
About
Maan El Badaoui El Najjar is a prominent researcher specializing in fault-tolerant control, autonomous mobile robotics, and multi-sensor fusion systems. His work sits at a compelling intersection of control theory, robotic navigation, and system reliability, with a particular focus on developing robust solutions for real-world robotic challenges. El Najjar's most significant contributions center on actuator fault diagnosis and compensation for linked multi-robot systems. His extensive series of papers on two-wheel-drive (2WD) physically linked mobile robots demonstrates innovative approaches including adaptive compensation schemes, multiple-model control, and multidesign integration strategies, ensuring stable trajectory tracking even under actuator failure conditions. This body of work, spanning from 2017 onward and accumulating dozens of citations, has meaningfully advanced the field of fault-tolerant robotics. Beyond fault compensation, his informational framework approaches to visual odometry and multi-sensor fusion address critical challenges in GPS-denied environments, enabling minimalistic yet effective autonomous navigation. His 2022 work on cooperative localization using Jensen-Shannon divergence further extends these contributions to multi-robot collaborative settings, enhancing positioning integrity across entire robotic teams. With a research portfolio consistently cited by peers internationally, El Najjar has established himself as a key contributor to building safer, more resilient autonomous robotic systems capable of operating reliably under real-world uncertainties.
Research Focus
Key Achievements
Top Papers
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- 2Informational Framework for Minimalistic Visual Odometry on Outdoor Robot17 citations · 2018
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