Fares Alkhawaja

Papers

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About

Fares Alkhawaja is a robotics researcher whose work focuses on solving one of the field’s most persistent challenges: reliable indoor navigation. His research centers on sensor fusion, indoor positioning systems (IPS), and low-cost localization solutions for mobile robots. Alkhawaja’s most cited work, the 2019 survey “Techniques of Indoor Positioning Systems (IPS): A Survey,” has garnered 28 citations and provides a comprehensive roadmap of the field, analyzing the trade-offs between various localization techniques where GPS signals fail. Building on this foundation, his 2023 paper “Low-cost depth/IMU intelligent sensor fusion for indoor robot navigation” (9 citations) introduces a practical, cost-effective platform that fuses depth camera data with inertial measurement units. This work demonstrates how intelligent sensor fusion can dramatically improve localization accuracy in both indoor and outdoor environments, making advanced robotics more accessible. Alkhawaja’s contributions are particularly valuable for researchers and engineers seeking to deploy autonomous systems in GPS-denied settings, from warehouses to hospitals, without relying on expensive hardware. His research bridges the gap between theoretical positioning techniques and real-world, affordable robotic navigation.