Papers
7
Total Citations
165
H-Index
4
About
Joelle Al Hage is a robotics and autonomous systems researcher whose work centers on multi-robot collaborative localization, multi-sensor fusion, and fault-tolerant navigation. Her research addresses one of the most fundamental challenges in field robotics: enabling teams of robots to accurately determine their positions in complex, GPS-denied environments while maintaining system integrity even when sensors fail. Al Hage's most significant contribution is her development of fault detection and exclusion frameworks leveraging the Kullback–Leibler Divergence, a probabilistic measure that allows robots to identify and isolate unreliable sensor data in real time. Her 2017 paper on this approach has garnered 121 citations, establishing it as a landmark reference in multi-robot localization research. She has further advanced the field through informational approaches to visual odometry for outdoor robots and robust sliding mode control strategies for autonomous navigation. Her more recent work on decentralized collaborative localization using the Schmidt-Kalman filter reflects a continued commitment to scalable, computationally efficient solutions for real-world robotic deployments. Spanning from theoretical probabilistic frameworks to practical autonomous navigation systems, Al Hage's research portfolio makes her a notable contributor to the growing field of resilient, cooperative mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2Informational Framework for Minimalistic Visual Odometry on Outdoor Robot17 citations · 2018
- 3Fault tolerant collaborative localization for multi-robot system12 citations · 2016
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