Hamidreza Farhadi Tolie

University of Warwick, Robert Gordon University

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About

Hamidreza Farhadi Tolie is a leading researcher at the forefront of autonomous underwater robotics, with a focused expertise in subsea perception and intelligent navigation systems. His work addresses the critical challenge of achieving full operational autonomy in Autonomous Underwater Systems (AUS), a pursuit he comprehensively reviews in his highly cited 2025 paper, "Full autonomy in underwater robotics systems: A realistic prospect?" (5 citations). This work outlines the transformative potential of AUS for environmental monitoring and subsea operations while dissecting the hurdles in navigation and perception. Tolie’s major contribution lies in bridging the gap between computer vision and underwater robotics. In his influential 2024 work, "Promptable Sonar Image Segmentation for Distance Measurement Using SAM" (5 citations), he pioneers the application of the Segment Anything Model (SAM) to sonar imagery, enabling robust object segmentation and distance measurement in the challenging subsea environment. This innovation directly addresses the degradation caused by non-uniform light attenuation and backscattering, offering a practical solution for robotic vision. Tolie’s research is pivotal for advancing reliable, intelligent underwater systems, making him a notable figure in the field.