Hayat Rajani

Papers

Total Citations

H-Index

About

Hayat Rajani is a rising researcher at the forefront of marine robotics and machine learning, whose work is helping to bridge the critical gap between simulation and real-world autonomy in underwater and surface operations. Her most significant contribution is the development of **Stonefish**, a high-fidelity simulator specifically designed to support machine learning research in marine robotics. Recognizing the prohibitive costs and logistical nightmares of field trials in harsh marine environments, Rajani’s Stonefish provides a controlled, cost-effective, and realistic virtual testing ground. This platform allows researchers to train and validate autonomous navigation, perception, and control algorithms without the risk of losing expensive hardware. With her key papers on Stonefish already accumulating citations, Rajani is establishing herself as a pivotal figure in enabling scalable, data-driven research for autonomous underwater vehicles (AUVs) and surface vessels. Her work directly addresses a fundamental bottleneck in the field, making her a notable contributor to the future of intelligent, self-navigating marine systems.