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Alghalya Al-Hajri

1 accepted papers

2026

A Novel Monte-Carlo Compressed Sensing and Dictionary Learning Method for the Efficient Path Planning of Remote Sensing Robots

RA-L 2026

In recent years, Compressed Sensing (CS) has gained significant attention as a method for acquiring high-resolution sensory data with fewer measurements than traditional Nyquist sampling. Simultaneously, autonomous robotic platforms such as drones and rovers have become valuable tools for remote sen

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