Mehdi Rahmati

Rutgers, The State University of New Jersey

Papers

Total Citations

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About

Mehdi Rahmati is a leading researcher in autonomous underwater robotics, with a primary focus on adaptive sampling and simultaneous localization and mapping (SLAM) for marine environments. His most-cited work, "SLAM-based Underwater Adaptive Sampling Using Autonomous Vehicles" (2018, 14 citations), introduces a novel strategy that enables Autonomous Underwater Vehicles (AUVs) to efficiently and accurately sense water reservoirs and 3D ocean bodies in near real time. By integrating SLAM with adaptive sampling, Rahmati’s approach allows vehicles to dynamically capture the spatial distribution of environmental phenomena, significantly improving data collection efficiency over traditional methods. This contribution addresses critical challenges in oceanography and environmental monitoring, where real-time, high-resolution data is essential. Rahmati’s work has been recognized for its potential to revolutionize underwater sensing, making autonomous vehicles more intelligent and responsive. His research bridges robotics and marine science, offering practical solutions for climate monitoring, pollution tracking, and resource management. With a growing citation impact, Rahmati continues to advance the field, inspiring future innovations in autonomous systems and adaptive exploration.