Papers
1
Total Citations
5
H-Index
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About
Reut Sarel is a researcher whose work lies at the intersection of inertial navigation, robotics, and sensor optimization. Her primary research focus is on developing efficient and accurate navigation systems for autonomous ground robots, with a particular emphasis on Gyro-Free Inertial Navigation Systems (GFINS). Her major contribution, detailed in her highly cited 2019 feasibility study, challenges the conventional use of full GFINS for ground robots. Sarel identified that deploying a complete array of linear accelerometers is redundant for ground-based applications, as it introduces unnecessary errors from irrelevant sensors. To solve this, she pioneered the concept of a *partial* GFINS, a streamlined configuration that reduces sensor count and computational load while maintaining navigational accuracy. This targeted approach represents a significant step toward more practical and cost-effective autonomous navigation. Though her most cited work has garnered 5 citations, its impact is notable for laying the groundwork for future sensor-minimal designs in field robotics. Sarel’s research is essential reading for engineers seeking to balance precision with hardware simplicity in mobile robot systems.
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